Instructions to use ErrorAI/7ce82059-66f7-4ccd-bc95-18dea2313e1f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/7ce82059-66f7-4ccd-bc95-18dea2313e1f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "ErrorAI/7ce82059-66f7-4ccd-bc95-18dea2313e1f") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 381, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +31 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +223 -0
- last-checkpoint/trainer_state.json +2716 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: EleutherAI/pythia-160m
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "EleutherAI/pythia-160m",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"dense_h_to_4h",
|
| 24 |
+
"query_key_value",
|
| 25 |
+
"dense_4h_to_h",
|
| 26 |
+
"dense"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f5ae3eda2d55a6422b7c2c8605e25f7d9e097c4ae0eda7c88668f66b13b0dd4
|
| 3 |
+
size 4731640
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7f0a2e425aaa2feafa6f489a398fbb98b5ec54c5415ab5448e58b394efce029
|
| 3 |
+
size 2505850
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4ee5943d1e441480ca88ae632db7b263f10c34365676ed955a61f8d8e5c08df
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73e0e7a6b479ed5f5f10bf81713902edc810415550be81bd7dca31e35c6bfa33
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|endoftext|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<|padding|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"50254": {
|
| 23 |
+
"content": " ",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"50255": {
|
| 31 |
+
"content": " ",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"50256": {
|
| 39 |
+
"content": " ",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"50257": {
|
| 47 |
+
"content": " ",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"50258": {
|
| 55 |
+
"content": " ",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": true,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"50259": {
|
| 63 |
+
"content": " ",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": true,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"50260": {
|
| 71 |
+
"content": " ",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": true,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"50261": {
|
| 79 |
+
"content": " ",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": true,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": false
|
| 85 |
+
},
|
| 86 |
+
"50262": {
|
| 87 |
+
"content": " ",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": true,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"50263": {
|
| 95 |
+
"content": " ",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": true,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": false
|
| 101 |
+
},
|
| 102 |
+
"50264": {
|
| 103 |
+
"content": " ",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": true,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": false
|
| 109 |
+
},
|
| 110 |
+
"50265": {
|
| 111 |
+
"content": " ",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": true,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": false
|
| 117 |
+
},
|
| 118 |
+
"50266": {
|
| 119 |
+
"content": " ",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": true,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"50267": {
|
| 127 |
+
"content": " ",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": true,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"50268": {
|
| 135 |
+
"content": " ",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": true,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"50269": {
|
| 143 |
+
"content": " ",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": true,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"50270": {
|
| 151 |
+
"content": " ",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": true,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"50271": {
|
| 159 |
+
"content": " ",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": true,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"50272": {
|
| 167 |
+
"content": " ",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": true,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"50273": {
|
| 175 |
+
"content": " ",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": true,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"50274": {
|
| 183 |
+
"content": " ",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": true,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"50275": {
|
| 191 |
+
"content": " ",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": true,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"50276": {
|
| 199 |
+
"content": " ",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": true,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
},
|
| 206 |
+
"50277": {
|
| 207 |
+
"content": "[PAD]",
|
| 208 |
+
"lstrip": false,
|
| 209 |
+
"normalized": false,
|
| 210 |
+
"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": true
|
| 213 |
+
}
|
| 214 |
+
},
|
| 215 |
+
"bos_token": "<|endoftext|>",
|
| 216 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 217 |
+
"clean_up_tokenization_spaces": false,
|
| 218 |
+
"eos_token": "<|endoftext|>",
|
| 219 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 220 |
+
"pad_token": "<|endoftext|>",
|
| 221 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
| 222 |
+
"unk_token": "<|endoftext|>"
|
| 223 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2716 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.21656956089242574,
|
| 5 |
+
"eval_steps": 381,
|
| 6 |
+
"global_step": 381,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0005684240443370755,
|
| 13 |
+
"grad_norm": 715.1505126953125,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 11.566,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0005684240443370755,
|
| 20 |
+
"eval_loss": 2.825512170791626,
|
| 21 |
+
"eval_runtime": 7.1017,
|
| 22 |
+
"eval_samples_per_second": 104.341,
|
| 23 |
+
"eval_steps_per_second": 52.241,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.001136848088674151,
|
| 28 |
+
"grad_norm": 2585.229248046875,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 10.0057,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0017052721330112265,
|
| 35 |
+
"grad_norm": 20126.2734375,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 12.3752,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.002273696177348302,
|
| 42 |
+
"grad_norm": 1895.610595703125,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 12.4936,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.002842120221685377,
|
| 49 |
+
"grad_norm": 984.6260986328125,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 11.7755,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.003410544266022453,
|
| 56 |
+
"grad_norm": 615.008544921875,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 12.9264,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.003978968310359528,
|
| 63 |
+
"grad_norm": 996.290771484375,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 10.8169,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.004547392354696604,
|
| 70 |
+
"grad_norm": 2017.6121826171875,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 10.3199,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.005115816399033679,
|
| 77 |
+
"grad_norm": 1687.360107421875,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 9.0321,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.005684240443370754,
|
| 84 |
+
"grad_norm": 2396.41357421875,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 11.7856,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.00625266448770783,
|
| 91 |
+
"grad_norm": 7873.9150390625,
|
| 92 |
+
"learning_rate": 0.00019999978385725403,
|
| 93 |
+
"loss": 12.1593,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.006821088532044906,
|
| 98 |
+
"grad_norm": 1229.39208984375,
|
| 99 |
+
"learning_rate": 0.00019999913542995056,
|
| 100 |
+
"loss": 10.1226,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.007389512576381981,
|
| 105 |
+
"grad_norm": 1588.6375732421875,
|
| 106 |
+
"learning_rate": 0.00019999805472089254,
|
| 107 |
+
"loss": 9.9923,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.007957936620719057,
|
| 112 |
+
"grad_norm": 1996.9405517578125,
|
| 113 |
+
"learning_rate": 0.00019999654173475179,
|
| 114 |
+
"loss": 12.7867,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.008526360665056132,
|
| 119 |
+
"grad_norm": 4578.20703125,
|
| 120 |
+
"learning_rate": 0.00019999459647806873,
|
| 121 |
+
"loss": 9.8249,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.009094784709393207,
|
| 126 |
+
"grad_norm": 1579.720703125,
|
| 127 |
+
"learning_rate": 0.0001999922189592524,
|
| 128 |
+
"loss": 10.6916,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.009663208753730283,
|
| 133 |
+
"grad_norm": 2316.38330078125,
|
| 134 |
+
"learning_rate": 0.00019998940918858042,
|
| 135 |
+
"loss": 10.0,
|
| 136 |
+
"step": 17
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.010231632798067358,
|
| 140 |
+
"grad_norm": 5936.943359375,
|
| 141 |
+
"learning_rate": 0.0001999861671781991,
|
| 142 |
+
"loss": 8.6157,
|
| 143 |
+
"step": 18
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.010800056842404433,
|
| 147 |
+
"grad_norm": 605.010986328125,
|
| 148 |
+
"learning_rate": 0.00019998249294212318,
|
| 149 |
+
"loss": 10.2147,
|
| 150 |
+
"step": 19
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.011368480886741509,
|
| 154 |
+
"grad_norm": 542.8692626953125,
|
| 155 |
+
"learning_rate": 0.0001999783864962358,
|
| 156 |
+
"loss": 11.1432,
|
| 157 |
+
"step": 20
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.011936904931078584,
|
| 161 |
+
"grad_norm": 1332.5885009765625,
|
| 162 |
+
"learning_rate": 0.0001999738478582886,
|
| 163 |
+
"loss": 10.7122,
|
| 164 |
+
"step": 21
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.01250532897541566,
|
| 168 |
+
"grad_norm": 1285.6971435546875,
|
| 169 |
+
"learning_rate": 0.00019996887704790134,
|
| 170 |
+
"loss": 10.9664,
|
| 171 |
+
"step": 22
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.013073753019752736,
|
| 175 |
+
"grad_norm": 2288.237548828125,
|
| 176 |
+
"learning_rate": 0.00019996347408656224,
|
| 177 |
+
"loss": 8.5736,
|
| 178 |
+
"step": 23
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.013642177064089812,
|
| 182 |
+
"grad_norm": 1243.52392578125,
|
| 183 |
+
"learning_rate": 0.00019995763899762742,
|
| 184 |
+
"loss": 11.2758,
|
| 185 |
+
"step": 24
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.014210601108426887,
|
| 189 |
+
"grad_norm": 2815.61962890625,
|
| 190 |
+
"learning_rate": 0.0001999513718063212,
|
| 191 |
+
"loss": 10.4599,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.014779025152763962,
|
| 196 |
+
"grad_norm": 1203.433837890625,
|
| 197 |
+
"learning_rate": 0.00019994467253973562,
|
| 198 |
+
"loss": 10.6303,
|
| 199 |
+
"step": 26
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.015347449197101038,
|
| 203 |
+
"grad_norm": 1196.458740234375,
|
| 204 |
+
"learning_rate": 0.0001999375412268308,
|
| 205 |
+
"loss": 10.9198,
|
| 206 |
+
"step": 27
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.015915873241438113,
|
| 210 |
+
"grad_norm": 5211.41064453125,
|
| 211 |
+
"learning_rate": 0.00019992997789843427,
|
| 212 |
+
"loss": 11.6272,
|
| 213 |
+
"step": 28
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.016484297285775187,
|
| 217 |
+
"grad_norm": 1361.6744384765625,
|
| 218 |
+
"learning_rate": 0.00019992198258724118,
|
| 219 |
+
"loss": 11.7488,
|
| 220 |
+
"step": 29
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.017052721330112264,
|
| 224 |
+
"grad_norm": 2589.90283203125,
|
| 225 |
+
"learning_rate": 0.00019991355532781414,
|
| 226 |
+
"loss": 10.2517,
|
| 227 |
+
"step": 30
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.01762114537444934,
|
| 231 |
+
"grad_norm": 1039.8492431640625,
|
| 232 |
+
"learning_rate": 0.000199904696156583,
|
| 233 |
+
"loss": 10.7175,
|
| 234 |
+
"step": 31
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.018189569418786414,
|
| 238 |
+
"grad_norm": 1555.1090087890625,
|
| 239 |
+
"learning_rate": 0.00019989540511184466,
|
| 240 |
+
"loss": 10.5819,
|
| 241 |
+
"step": 32
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.01875799346312349,
|
| 245 |
+
"grad_norm": 542.172119140625,
|
| 246 |
+
"learning_rate": 0.0001998856822337629,
|
| 247 |
+
"loss": 13.806,
|
| 248 |
+
"step": 33
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.019326417507460565,
|
| 252 |
+
"grad_norm": 1158.800048828125,
|
| 253 |
+
"learning_rate": 0.00019987552756436835,
|
| 254 |
+
"loss": 10.5162,
|
| 255 |
+
"step": 34
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.019894841551797642,
|
| 259 |
+
"grad_norm": 1740.593994140625,
|
| 260 |
+
"learning_rate": 0.0001998649411475582,
|
| 261 |
+
"loss": 8.8364,
|
| 262 |
+
"step": 35
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.020463265596134716,
|
| 266 |
+
"grad_norm": 1305.1563720703125,
|
| 267 |
+
"learning_rate": 0.00019985392302909597,
|
| 268 |
+
"loss": 9.098,
|
| 269 |
+
"step": 36
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.021031689640471793,
|
| 273 |
+
"grad_norm": 2509.5439453125,
|
| 274 |
+
"learning_rate": 0.00019984247325661135,
|
| 275 |
+
"loss": 11.789,
|
| 276 |
+
"step": 37
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.021600113684808867,
|
| 280 |
+
"grad_norm": 587.509521484375,
|
| 281 |
+
"learning_rate": 0.00019983059187960012,
|
| 282 |
+
"loss": 11.38,
|
| 283 |
+
"step": 38
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.022168537729145944,
|
| 287 |
+
"grad_norm": 2486.3291015625,
|
| 288 |
+
"learning_rate": 0.0001998182789494237,
|
| 289 |
+
"loss": 10.0442,
|
| 290 |
+
"step": 39
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.022736961773483017,
|
| 294 |
+
"grad_norm": 2356.46826171875,
|
| 295 |
+
"learning_rate": 0.0001998055345193091,
|
| 296 |
+
"loss": 11.6395,
|
| 297 |
+
"step": 40
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.023305385817820094,
|
| 301 |
+
"grad_norm": 1564.4888916015625,
|
| 302 |
+
"learning_rate": 0.00019979235864434864,
|
| 303 |
+
"loss": 11.1636,
|
| 304 |
+
"step": 41
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.023873809862157168,
|
| 308 |
+
"grad_norm": 1384.5040283203125,
|
| 309 |
+
"learning_rate": 0.00019977875138149975,
|
| 310 |
+
"loss": 9.923,
|
| 311 |
+
"step": 42
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.024442233906494245,
|
| 315 |
+
"grad_norm": 1887.17578125,
|
| 316 |
+
"learning_rate": 0.0001997647127895846,
|
| 317 |
+
"loss": 9.3615,
|
| 318 |
+
"step": 43
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.02501065795083132,
|
| 322 |
+
"grad_norm": 728.4740600585938,
|
| 323 |
+
"learning_rate": 0.00019975024292929008,
|
| 324 |
+
"loss": 10.7779,
|
| 325 |
+
"step": 44
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.025579081995168396,
|
| 329 |
+
"grad_norm": 2763.714111328125,
|
| 330 |
+
"learning_rate": 0.00019973534186316718,
|
| 331 |
+
"loss": 11.3021,
|
| 332 |
+
"step": 45
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.026147506039505473,
|
| 336 |
+
"grad_norm": 737.8002319335938,
|
| 337 |
+
"learning_rate": 0.00019972000965563113,
|
| 338 |
+
"loss": 10.3222,
|
| 339 |
+
"step": 46
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.026715930083842546,
|
| 343 |
+
"grad_norm": 1477.6663818359375,
|
| 344 |
+
"learning_rate": 0.00019970424637296078,
|
| 345 |
+
"loss": 10.4799,
|
| 346 |
+
"step": 47
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.027284354128179623,
|
| 350 |
+
"grad_norm": 1223.7069091796875,
|
| 351 |
+
"learning_rate": 0.00019968805208329856,
|
| 352 |
+
"loss": 9.9983,
|
| 353 |
+
"step": 48
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.027852778172516697,
|
| 357 |
+
"grad_norm": 3341.6689453125,
|
| 358 |
+
"learning_rate": 0.00019967142685665002,
|
| 359 |
+
"loss": 11.832,
|
| 360 |
+
"step": 49
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.028421202216853774,
|
| 364 |
+
"grad_norm": 1535.1341552734375,
|
| 365 |
+
"learning_rate": 0.00019965437076488362,
|
| 366 |
+
"loss": 10.3633,
|
| 367 |
+
"step": 50
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.028989626261190848,
|
| 371 |
+
"grad_norm": 2500.49462890625,
|
| 372 |
+
"learning_rate": 0.00019963688388173034,
|
| 373 |
+
"loss": 9.8745,
|
| 374 |
+
"step": 51
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.029558050305527925,
|
| 378 |
+
"grad_norm": 2795.143798828125,
|
| 379 |
+
"learning_rate": 0.00019961896628278345,
|
| 380 |
+
"loss": 10.067,
|
| 381 |
+
"step": 52
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.030126474349865,
|
| 385 |
+
"grad_norm": 4155.7490234375,
|
| 386 |
+
"learning_rate": 0.00019960061804549813,
|
| 387 |
+
"loss": 12.0709,
|
| 388 |
+
"step": 53
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.030694898394202075,
|
| 392 |
+
"grad_norm": 943.591064453125,
|
| 393 |
+
"learning_rate": 0.00019958183924919114,
|
| 394 |
+
"loss": 11.3457,
|
| 395 |
+
"step": 54
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.03126332243853915,
|
| 399 |
+
"grad_norm": 1366.348388671875,
|
| 400 |
+
"learning_rate": 0.00019956262997504053,
|
| 401 |
+
"loss": 10.475,
|
| 402 |
+
"step": 55
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.031831746482876226,
|
| 406 |
+
"grad_norm": 1189.337158203125,
|
| 407 |
+
"learning_rate": 0.00019954299030608514,
|
| 408 |
+
"loss": 11.5766,
|
| 409 |
+
"step": 56
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.0324001705272133,
|
| 413 |
+
"grad_norm": 1499.7227783203125,
|
| 414 |
+
"learning_rate": 0.00019952292032722447,
|
| 415 |
+
"loss": 9.5228,
|
| 416 |
+
"step": 57
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.03296859457155037,
|
| 420 |
+
"grad_norm": 969.8496704101562,
|
| 421 |
+
"learning_rate": 0.0001995024201252181,
|
| 422 |
+
"loss": 9.0326,
|
| 423 |
+
"step": 58
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.033537018615887454,
|
| 427 |
+
"grad_norm": 1969.1591796875,
|
| 428 |
+
"learning_rate": 0.0001994814897886854,
|
| 429 |
+
"loss": 11.9541,
|
| 430 |
+
"step": 59
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.03410544266022453,
|
| 434 |
+
"grad_norm": 920.8987426757812,
|
| 435 |
+
"learning_rate": 0.0001994601294081053,
|
| 436 |
+
"loss": 11.2321,
|
| 437 |
+
"step": 60
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0346738667045616,
|
| 441 |
+
"grad_norm": 820.4376220703125,
|
| 442 |
+
"learning_rate": 0.00019943833907581544,
|
| 443 |
+
"loss": 12.3152,
|
| 444 |
+
"step": 61
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.03524229074889868,
|
| 448 |
+
"grad_norm": 1614.395751953125,
|
| 449 |
+
"learning_rate": 0.00019941611888601242,
|
| 450 |
+
"loss": 10.611,
|
| 451 |
+
"step": 62
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.035810714793235755,
|
| 455 |
+
"grad_norm": 1378.6353759765625,
|
| 456 |
+
"learning_rate": 0.0001993934689347508,
|
| 457 |
+
"loss": 11.6645,
|
| 458 |
+
"step": 63
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.03637913883757283,
|
| 462 |
+
"grad_norm": 1604.013427734375,
|
| 463 |
+
"learning_rate": 0.0001993703893199431,
|
| 464 |
+
"loss": 11.3859,
|
| 465 |
+
"step": 64
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.0369475628819099,
|
| 469 |
+
"grad_norm": 2112.920654296875,
|
| 470 |
+
"learning_rate": 0.00019934688014135908,
|
| 471 |
+
"loss": 11.2036,
|
| 472 |
+
"step": 65
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.03751598692624698,
|
| 476 |
+
"grad_norm": 2538.67431640625,
|
| 477 |
+
"learning_rate": 0.0001993229415006256,
|
| 478 |
+
"loss": 11.3158,
|
| 479 |
+
"step": 66
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.03808441097058406,
|
| 483 |
+
"grad_norm": 2191.82666015625,
|
| 484 |
+
"learning_rate": 0.00019929857350122583,
|
| 485 |
+
"loss": 14.4237,
|
| 486 |
+
"step": 67
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.03865283501492113,
|
| 490 |
+
"grad_norm": 2429.986572265625,
|
| 491 |
+
"learning_rate": 0.00019927377624849916,
|
| 492 |
+
"loss": 11.1028,
|
| 493 |
+
"step": 68
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.039221259059258204,
|
| 497 |
+
"grad_norm": 1850.013671875,
|
| 498 |
+
"learning_rate": 0.00019924854984964052,
|
| 499 |
+
"loss": 9.2762,
|
| 500 |
+
"step": 69
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.039789683103595284,
|
| 504 |
+
"grad_norm": 6456.251953125,
|
| 505 |
+
"learning_rate": 0.00019922289441369993,
|
| 506 |
+
"loss": 10.7683,
|
| 507 |
+
"step": 70
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.04035810714793236,
|
| 511 |
+
"grad_norm": 986.1968994140625,
|
| 512 |
+
"learning_rate": 0.00019919681005158216,
|
| 513 |
+
"loss": 10.8592,
|
| 514 |
+
"step": 71
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.04092653119226943,
|
| 518 |
+
"grad_norm": 2998.34423828125,
|
| 519 |
+
"learning_rate": 0.0001991702968760461,
|
| 520 |
+
"loss": 11.0712,
|
| 521 |
+
"step": 72
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.041494955236606505,
|
| 525 |
+
"grad_norm": 2790.07958984375,
|
| 526 |
+
"learning_rate": 0.00019914335500170434,
|
| 527 |
+
"loss": 12.567,
|
| 528 |
+
"step": 73
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.042063379280943586,
|
| 532 |
+
"grad_norm": 2455.44140625,
|
| 533 |
+
"learning_rate": 0.00019911598454502275,
|
| 534 |
+
"loss": 12.3398,
|
| 535 |
+
"step": 74
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.04263180332528066,
|
| 539 |
+
"grad_norm": 6441.51171875,
|
| 540 |
+
"learning_rate": 0.00019908818562431978,
|
| 541 |
+
"loss": 11.666,
|
| 542 |
+
"step": 75
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.04320022736961773,
|
| 546 |
+
"grad_norm": 3151.3193359375,
|
| 547 |
+
"learning_rate": 0.00019905995835976616,
|
| 548 |
+
"loss": 10.709,
|
| 549 |
+
"step": 76
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.043768651413954814,
|
| 553 |
+
"grad_norm": 1786.642333984375,
|
| 554 |
+
"learning_rate": 0.00019903130287338426,
|
| 555 |
+
"loss": 13.0289,
|
| 556 |
+
"step": 77
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.04433707545829189,
|
| 560 |
+
"grad_norm": 2310.83544921875,
|
| 561 |
+
"learning_rate": 0.00019900221928904763,
|
| 562 |
+
"loss": 8.9232,
|
| 563 |
+
"step": 78
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.04490549950262896,
|
| 567 |
+
"grad_norm": 693.9208374023438,
|
| 568 |
+
"learning_rate": 0.00019897270773248032,
|
| 569 |
+
"loss": 11.5207,
|
| 570 |
+
"step": 79
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.045473923546966034,
|
| 574 |
+
"grad_norm": 1073.7001953125,
|
| 575 |
+
"learning_rate": 0.00019894276833125652,
|
| 576 |
+
"loss": 12.2091,
|
| 577 |
+
"step": 80
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.046042347591303115,
|
| 581 |
+
"grad_norm": 1177.6282958984375,
|
| 582 |
+
"learning_rate": 0.00019891240121479997,
|
| 583 |
+
"loss": 11.0831,
|
| 584 |
+
"step": 81
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.04661077163564019,
|
| 588 |
+
"grad_norm": 1403.3370361328125,
|
| 589 |
+
"learning_rate": 0.00019888160651438327,
|
| 590 |
+
"loss": 10.284,
|
| 591 |
+
"step": 82
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.04717919567997726,
|
| 595 |
+
"grad_norm": 1599.4073486328125,
|
| 596 |
+
"learning_rate": 0.0001988503843631274,
|
| 597 |
+
"loss": 12.6646,
|
| 598 |
+
"step": 83
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.047747619724314336,
|
| 602 |
+
"grad_norm": 1667.661865234375,
|
| 603 |
+
"learning_rate": 0.00019881873489600128,
|
| 604 |
+
"loss": 9.1977,
|
| 605 |
+
"step": 84
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.048316043768651416,
|
| 609 |
+
"grad_norm": 1429.27685546875,
|
| 610 |
+
"learning_rate": 0.00019878665824982087,
|
| 611 |
+
"loss": 10.502,
|
| 612 |
+
"step": 85
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.04888446781298849,
|
| 616 |
+
"grad_norm": 2474.26513671875,
|
| 617 |
+
"learning_rate": 0.00019875415456324896,
|
| 618 |
+
"loss": 10.6261,
|
| 619 |
+
"step": 86
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.049452891857325564,
|
| 623 |
+
"grad_norm": 1770.6605224609375,
|
| 624 |
+
"learning_rate": 0.0001987212239767942,
|
| 625 |
+
"loss": 11.8647,
|
| 626 |
+
"step": 87
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.05002131590166264,
|
| 630 |
+
"grad_norm": 2947.497802734375,
|
| 631 |
+
"learning_rate": 0.00019868786663281072,
|
| 632 |
+
"loss": 12.1916,
|
| 633 |
+
"step": 88
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.05058973994599972,
|
| 637 |
+
"grad_norm": 1825.549560546875,
|
| 638 |
+
"learning_rate": 0.00019865408267549754,
|
| 639 |
+
"loss": 10.1334,
|
| 640 |
+
"step": 89
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.05115816399033679,
|
| 644 |
+
"grad_norm": 13938.9267578125,
|
| 645 |
+
"learning_rate": 0.0001986198722508978,
|
| 646 |
+
"loss": 13.4323,
|
| 647 |
+
"step": 90
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.051726588034673865,
|
| 651 |
+
"grad_norm": 1956.8978271484375,
|
| 652 |
+
"learning_rate": 0.00019858523550689817,
|
| 653 |
+
"loss": 10.9729,
|
| 654 |
+
"step": 91
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.052295012079010945,
|
| 658 |
+
"grad_norm": 4884.1005859375,
|
| 659 |
+
"learning_rate": 0.00019855017259322826,
|
| 660 |
+
"loss": 11.324,
|
| 661 |
+
"step": 92
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.05286343612334802,
|
| 665 |
+
"grad_norm": 2630.69775390625,
|
| 666 |
+
"learning_rate": 0.00019851468366146002,
|
| 667 |
+
"loss": 10.6297,
|
| 668 |
+
"step": 93
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.05343186016768509,
|
| 672 |
+
"grad_norm": 3588.2236328125,
|
| 673 |
+
"learning_rate": 0.0001984787688650069,
|
| 674 |
+
"loss": 12.1773,
|
| 675 |
+
"step": 94
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.054000284212022166,
|
| 679 |
+
"grad_norm": 1561.0384521484375,
|
| 680 |
+
"learning_rate": 0.00019844242835912335,
|
| 681 |
+
"loss": 14.0535,
|
| 682 |
+
"step": 95
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.05456870825635925,
|
| 686 |
+
"grad_norm": 2454.306396484375,
|
| 687 |
+
"learning_rate": 0.0001984056623009041,
|
| 688 |
+
"loss": 12.48,
|
| 689 |
+
"step": 96
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.05513713230069632,
|
| 693 |
+
"grad_norm": 2470.94140625,
|
| 694 |
+
"learning_rate": 0.00019836847084928354,
|
| 695 |
+
"loss": 11.1904,
|
| 696 |
+
"step": 97
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.055705556345033394,
|
| 700 |
+
"grad_norm": 3758.377685546875,
|
| 701 |
+
"learning_rate": 0.0001983308541650349,
|
| 702 |
+
"loss": 12.9302,
|
| 703 |
+
"step": 98
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.05627398038937047,
|
| 707 |
+
"grad_norm": 2643.673095703125,
|
| 708 |
+
"learning_rate": 0.0001982928124107696,
|
| 709 |
+
"loss": 11.1229,
|
| 710 |
+
"step": 99
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.05684240443370755,
|
| 714 |
+
"grad_norm": 1595.1947021484375,
|
| 715 |
+
"learning_rate": 0.0001982543457509367,
|
| 716 |
+
"loss": 10.5307,
|
| 717 |
+
"step": 100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.05741082847804462,
|
| 721 |
+
"grad_norm": 4985.3349609375,
|
| 722 |
+
"learning_rate": 0.00019821545435182194,
|
| 723 |
+
"loss": 11.1607,
|
| 724 |
+
"step": 101
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.057979252522381695,
|
| 728 |
+
"grad_norm": 4426.3662109375,
|
| 729 |
+
"learning_rate": 0.0001981761383815472,
|
| 730 |
+
"loss": 10.5471,
|
| 731 |
+
"step": 102
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.05854767656671877,
|
| 735 |
+
"grad_norm": 7010.75,
|
| 736 |
+
"learning_rate": 0.00019813639801006971,
|
| 737 |
+
"loss": 12.8988,
|
| 738 |
+
"step": 103
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.05911610061105585,
|
| 742 |
+
"grad_norm": 4185.978515625,
|
| 743 |
+
"learning_rate": 0.00019809623340918134,
|
| 744 |
+
"loss": 13.8598,
|
| 745 |
+
"step": 104
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.05968452465539292,
|
| 749 |
+
"grad_norm": 2997.8544921875,
|
| 750 |
+
"learning_rate": 0.00019805564475250785,
|
| 751 |
+
"loss": 12.9365,
|
| 752 |
+
"step": 105
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.06025294869973,
|
| 756 |
+
"grad_norm": 3403.239990234375,
|
| 757 |
+
"learning_rate": 0.0001980146322155081,
|
| 758 |
+
"loss": 10.4629,
|
| 759 |
+
"step": 106
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.06082137274406708,
|
| 763 |
+
"grad_norm": 4110.40185546875,
|
| 764 |
+
"learning_rate": 0.00019797319597547334,
|
| 765 |
+
"loss": 10.9108,
|
| 766 |
+
"step": 107
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.06138979678840415,
|
| 770 |
+
"grad_norm": 3244.458984375,
|
| 771 |
+
"learning_rate": 0.0001979313362115264,
|
| 772 |
+
"loss": 12.3091,
|
| 773 |
+
"step": 108
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.061958220832741225,
|
| 777 |
+
"grad_norm": 2387.46826171875,
|
| 778 |
+
"learning_rate": 0.00019788905310462102,
|
| 779 |
+
"loss": 11.3503,
|
| 780 |
+
"step": 109
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.0625266448770783,
|
| 784 |
+
"grad_norm": 3462.8232421875,
|
| 785 |
+
"learning_rate": 0.0001978463468375409,
|
| 786 |
+
"loss": 11.8997,
|
| 787 |
+
"step": 110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.06309506892141538,
|
| 791 |
+
"grad_norm": 1626.2708740234375,
|
| 792 |
+
"learning_rate": 0.00019780321759489903,
|
| 793 |
+
"loss": 11.3754,
|
| 794 |
+
"step": 111
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.06366349296575245,
|
| 798 |
+
"grad_norm": 2304.5087890625,
|
| 799 |
+
"learning_rate": 0.00019775966556313685,
|
| 800 |
+
"loss": 11.9003,
|
| 801 |
+
"step": 112
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.06423191701008953,
|
| 805 |
+
"grad_norm": 2844.057861328125,
|
| 806 |
+
"learning_rate": 0.00019771569093052354,
|
| 807 |
+
"loss": 11.8291,
|
| 808 |
+
"step": 113
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.0648003410544266,
|
| 812 |
+
"grad_norm": 2847.722412109375,
|
| 813 |
+
"learning_rate": 0.000197671293887155,
|
| 814 |
+
"loss": 12.119,
|
| 815 |
+
"step": 114
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.06536876509876367,
|
| 819 |
+
"grad_norm": 7991.02197265625,
|
| 820 |
+
"learning_rate": 0.00019762647462495325,
|
| 821 |
+
"loss": 13.5387,
|
| 822 |
+
"step": 115
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.06593718914310075,
|
| 826 |
+
"grad_norm": 1973.8907470703125,
|
| 827 |
+
"learning_rate": 0.00019758123333766544,
|
| 828 |
+
"loss": 12.6017,
|
| 829 |
+
"step": 116
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.06650561318743783,
|
| 833 |
+
"grad_norm": 1864.024658203125,
|
| 834 |
+
"learning_rate": 0.00019753557022086305,
|
| 835 |
+
"loss": 9.0838,
|
| 836 |
+
"step": 117
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.06707403723177491,
|
| 840 |
+
"grad_norm": 3261.030517578125,
|
| 841 |
+
"learning_rate": 0.00019748948547194118,
|
| 842 |
+
"loss": 13.5888,
|
| 843 |
+
"step": 118
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.06764246127611198,
|
| 847 |
+
"grad_norm": 3405.32421875,
|
| 848 |
+
"learning_rate": 0.00019744297929011743,
|
| 849 |
+
"loss": 13.0024,
|
| 850 |
+
"step": 119
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.06821088532044906,
|
| 854 |
+
"grad_norm": 8975.3642578125,
|
| 855 |
+
"learning_rate": 0.00019739605187643137,
|
| 856 |
+
"loss": 9.2995,
|
| 857 |
+
"step": 120
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.06877930936478613,
|
| 861 |
+
"grad_norm": 1806.4010009765625,
|
| 862 |
+
"learning_rate": 0.00019734870343374335,
|
| 863 |
+
"loss": 10.3708,
|
| 864 |
+
"step": 121
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.0693477334091232,
|
| 868 |
+
"grad_norm": 1527.980712890625,
|
| 869 |
+
"learning_rate": 0.00019730093416673382,
|
| 870 |
+
"loss": 10.9931,
|
| 871 |
+
"step": 122
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.06991615745346028,
|
| 875 |
+
"grad_norm": 1843.93115234375,
|
| 876 |
+
"learning_rate": 0.00019725274428190241,
|
| 877 |
+
"loss": 12.0665,
|
| 878 |
+
"step": 123
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.07048458149779736,
|
| 882 |
+
"grad_norm": 1749.8299560546875,
|
| 883 |
+
"learning_rate": 0.00019720413398756698,
|
| 884 |
+
"loss": 10.4359,
|
| 885 |
+
"step": 124
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.07105300554213444,
|
| 889 |
+
"grad_norm": 4265.53369140625,
|
| 890 |
+
"learning_rate": 0.0001971551034938628,
|
| 891 |
+
"loss": 13.3879,
|
| 892 |
+
"step": 125
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.07162142958647151,
|
| 896 |
+
"grad_norm": 2279.584228515625,
|
| 897 |
+
"learning_rate": 0.00019710565301274158,
|
| 898 |
+
"loss": 12.6601,
|
| 899 |
+
"step": 126
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.07218985363080858,
|
| 903 |
+
"grad_norm": 3952.930908203125,
|
| 904 |
+
"learning_rate": 0.00019705578275797052,
|
| 905 |
+
"loss": 11.6864,
|
| 906 |
+
"step": 127
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.07275827767514566,
|
| 910 |
+
"grad_norm": 4334.033203125,
|
| 911 |
+
"learning_rate": 0.0001970054929451316,
|
| 912 |
+
"loss": 12.4551,
|
| 913 |
+
"step": 128
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.07332670171948273,
|
| 917 |
+
"grad_norm": 3982.023681640625,
|
| 918 |
+
"learning_rate": 0.00019695478379162026,
|
| 919 |
+
"loss": 12.2981,
|
| 920 |
+
"step": 129
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.0738951257638198,
|
| 924 |
+
"grad_norm": 11521.0478515625,
|
| 925 |
+
"learning_rate": 0.00019690365551664488,
|
| 926 |
+
"loss": 9.7671,
|
| 927 |
+
"step": 130
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.07446354980815688,
|
| 931 |
+
"grad_norm": 10996.0869140625,
|
| 932 |
+
"learning_rate": 0.00019685210834122563,
|
| 933 |
+
"loss": 11.1024,
|
| 934 |
+
"step": 131
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.07503197385249397,
|
| 938 |
+
"grad_norm": 2001.555419921875,
|
| 939 |
+
"learning_rate": 0.00019680014248819338,
|
| 940 |
+
"loss": 12.6802,
|
| 941 |
+
"step": 132
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.07560039789683104,
|
| 945 |
+
"grad_norm": 2967.9482421875,
|
| 946 |
+
"learning_rate": 0.00019674775818218903,
|
| 947 |
+
"loss": 11.3207,
|
| 948 |
+
"step": 133
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.07616882194116811,
|
| 952 |
+
"grad_norm": 2594.755859375,
|
| 953 |
+
"learning_rate": 0.00019669495564966227,
|
| 954 |
+
"loss": 9.5385,
|
| 955 |
+
"step": 134
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.07673724598550519,
|
| 959 |
+
"grad_norm": 1451.6942138671875,
|
| 960 |
+
"learning_rate": 0.00019664173511887086,
|
| 961 |
+
"loss": 10.3379,
|
| 962 |
+
"step": 135
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.07730567002984226,
|
| 966 |
+
"grad_norm": 5727.142578125,
|
| 967 |
+
"learning_rate": 0.0001965880968198794,
|
| 968 |
+
"loss": 13.5146,
|
| 969 |
+
"step": 136
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.07787409407417933,
|
| 973 |
+
"grad_norm": 3225.37744140625,
|
| 974 |
+
"learning_rate": 0.0001965340409845585,
|
| 975 |
+
"loss": 10.1241,
|
| 976 |
+
"step": 137
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.07844251811851641,
|
| 980 |
+
"grad_norm": 6057.52392578125,
|
| 981 |
+
"learning_rate": 0.00019647956784658367,
|
| 982 |
+
"loss": 10.274,
|
| 983 |
+
"step": 138
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.0790109421628535,
|
| 987 |
+
"grad_norm": 7593.2138671875,
|
| 988 |
+
"learning_rate": 0.00019642467764143434,
|
| 989 |
+
"loss": 11.1785,
|
| 990 |
+
"step": 139
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.07957936620719057,
|
| 994 |
+
"grad_norm": 3727.695556640625,
|
| 995 |
+
"learning_rate": 0.000196369370606393,
|
| 996 |
+
"loss": 11.094,
|
| 997 |
+
"step": 140
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.08014779025152764,
|
| 1001 |
+
"grad_norm": 4268.923828125,
|
| 1002 |
+
"learning_rate": 0.00019631364698054386,
|
| 1003 |
+
"loss": 10.9563,
|
| 1004 |
+
"step": 141
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.08071621429586472,
|
| 1008 |
+
"grad_norm": 6838.72265625,
|
| 1009 |
+
"learning_rate": 0.00019625750700477207,
|
| 1010 |
+
"loss": 10.3983,
|
| 1011 |
+
"step": 142
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.08128463834020179,
|
| 1015 |
+
"grad_norm": 3911.334228515625,
|
| 1016 |
+
"learning_rate": 0.00019620095092176266,
|
| 1017 |
+
"loss": 10.1044,
|
| 1018 |
+
"step": 143
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.08185306238453886,
|
| 1022 |
+
"grad_norm": 15097.9462890625,
|
| 1023 |
+
"learning_rate": 0.00019614397897599936,
|
| 1024 |
+
"loss": 11.4009,
|
| 1025 |
+
"step": 144
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.08242148642887594,
|
| 1029 |
+
"grad_norm": 1902.943359375,
|
| 1030 |
+
"learning_rate": 0.00019608659141376355,
|
| 1031 |
+
"loss": 11.3478,
|
| 1032 |
+
"step": 145
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.08298991047321301,
|
| 1036 |
+
"grad_norm": 2225.294921875,
|
| 1037 |
+
"learning_rate": 0.00019602878848313344,
|
| 1038 |
+
"loss": 9.8102,
|
| 1039 |
+
"step": 146
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.0835583345175501,
|
| 1043 |
+
"grad_norm": 1152.1954345703125,
|
| 1044 |
+
"learning_rate": 0.00019597057043398264,
|
| 1045 |
+
"loss": 9.0274,
|
| 1046 |
+
"step": 147
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.08412675856188717,
|
| 1050 |
+
"grad_norm": 2429.097900390625,
|
| 1051 |
+
"learning_rate": 0.00019591193751797935,
|
| 1052 |
+
"loss": 11.1794,
|
| 1053 |
+
"step": 148
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.08469518260622425,
|
| 1057 |
+
"grad_norm": 3074.980712890625,
|
| 1058 |
+
"learning_rate": 0.00019585288998858518,
|
| 1059 |
+
"loss": 12.4276,
|
| 1060 |
+
"step": 149
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.08526360665056132,
|
| 1064 |
+
"grad_norm": 1387.078857421875,
|
| 1065 |
+
"learning_rate": 0.00019579342810105402,
|
| 1066 |
+
"loss": 9.9927,
|
| 1067 |
+
"step": 150
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.08583203069489839,
|
| 1071 |
+
"grad_norm": 4883.7138671875,
|
| 1072 |
+
"learning_rate": 0.00019573355211243093,
|
| 1073 |
+
"loss": 9.9918,
|
| 1074 |
+
"step": 151
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.08640045473923547,
|
| 1078 |
+
"grad_norm": 3293.441162109375,
|
| 1079 |
+
"learning_rate": 0.00019567326228155124,
|
| 1080 |
+
"loss": 11.9814,
|
| 1081 |
+
"step": 152
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.08696887878357254,
|
| 1085 |
+
"grad_norm": 2784.984130859375,
|
| 1086 |
+
"learning_rate": 0.000195612558869039,
|
| 1087 |
+
"loss": 10.6432,
|
| 1088 |
+
"step": 153
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.08753730282790963,
|
| 1092 |
+
"grad_norm": 2429.671875,
|
| 1093 |
+
"learning_rate": 0.00019555144213730637,
|
| 1094 |
+
"loss": 10.9787,
|
| 1095 |
+
"step": 154
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.0881057268722467,
|
| 1099 |
+
"grad_norm": 1944.4161376953125,
|
| 1100 |
+
"learning_rate": 0.00019548991235055207,
|
| 1101 |
+
"loss": 10.524,
|
| 1102 |
+
"step": 155
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.08867415091658377,
|
| 1106 |
+
"grad_norm": 2096.28076171875,
|
| 1107 |
+
"learning_rate": 0.00019542796977476044,
|
| 1108 |
+
"loss": 10.0407,
|
| 1109 |
+
"step": 156
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.08924257496092085,
|
| 1113 |
+
"grad_norm": 7156.40185546875,
|
| 1114 |
+
"learning_rate": 0.00019536561467770028,
|
| 1115 |
+
"loss": 10.0375,
|
| 1116 |
+
"step": 157
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.08981099900525792,
|
| 1120 |
+
"grad_norm": 6097.43017578125,
|
| 1121 |
+
"learning_rate": 0.00019530284732892356,
|
| 1122 |
+
"loss": 10.4774,
|
| 1123 |
+
"step": 158
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.090379423049595,
|
| 1127 |
+
"grad_norm": 6408.6826171875,
|
| 1128 |
+
"learning_rate": 0.00019523966799976446,
|
| 1129 |
+
"loss": 10.3953,
|
| 1130 |
+
"step": 159
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.09094784709393207,
|
| 1134 |
+
"grad_norm": 2025.72216796875,
|
| 1135 |
+
"learning_rate": 0.00019517607696333808,
|
| 1136 |
+
"loss": 12.0608,
|
| 1137 |
+
"step": 160
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.09151627113826914,
|
| 1141 |
+
"grad_norm": 2097.453857421875,
|
| 1142 |
+
"learning_rate": 0.0001951120744945392,
|
| 1143 |
+
"loss": 10.432,
|
| 1144 |
+
"step": 161
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.09208469518260623,
|
| 1148 |
+
"grad_norm": 2883.83984375,
|
| 1149 |
+
"learning_rate": 0.00019504766087004126,
|
| 1150 |
+
"loss": 11.6631,
|
| 1151 |
+
"step": 162
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.0926531192269433,
|
| 1155 |
+
"grad_norm": 9866.7177734375,
|
| 1156 |
+
"learning_rate": 0.00019498283636829497,
|
| 1157 |
+
"loss": 11.6008,
|
| 1158 |
+
"step": 163
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.09322154327128038,
|
| 1162 |
+
"grad_norm": 1902.9012451171875,
|
| 1163 |
+
"learning_rate": 0.00019491760126952724,
|
| 1164 |
+
"loss": 12.5862,
|
| 1165 |
+
"step": 164
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.09378996731561745,
|
| 1169 |
+
"grad_norm": 2026.79541015625,
|
| 1170 |
+
"learning_rate": 0.00019485195585573997,
|
| 1171 |
+
"loss": 14.339,
|
| 1172 |
+
"step": 165
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.09435839135995452,
|
| 1176 |
+
"grad_norm": 7162.0654296875,
|
| 1177 |
+
"learning_rate": 0.00019478590041070875,
|
| 1178 |
+
"loss": 13.1482,
|
| 1179 |
+
"step": 166
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.0949268154042916,
|
| 1183 |
+
"grad_norm": 2979.805419921875,
|
| 1184 |
+
"learning_rate": 0.00019471943521998165,
|
| 1185 |
+
"loss": 9.2892,
|
| 1186 |
+
"step": 167
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.09549523944862867,
|
| 1190 |
+
"grad_norm": 4213.1591796875,
|
| 1191 |
+
"learning_rate": 0.00019465256057087812,
|
| 1192 |
+
"loss": 10.9719,
|
| 1193 |
+
"step": 168
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.09606366349296576,
|
| 1197 |
+
"grad_norm": 6381.18310546875,
|
| 1198 |
+
"learning_rate": 0.0001945852767524875,
|
| 1199 |
+
"loss": 11.0731,
|
| 1200 |
+
"step": 169
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.09663208753730283,
|
| 1204 |
+
"grad_norm": 5097.34912109375,
|
| 1205 |
+
"learning_rate": 0.00019451758405566801,
|
| 1206 |
+
"loss": 12.5336,
|
| 1207 |
+
"step": 170
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.0972005115816399,
|
| 1211 |
+
"grad_norm": 11202.513671875,
|
| 1212 |
+
"learning_rate": 0.00019444948277304533,
|
| 1213 |
+
"loss": 10.7456,
|
| 1214 |
+
"step": 171
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.09776893562597698,
|
| 1218 |
+
"grad_norm": 9468.578125,
|
| 1219 |
+
"learning_rate": 0.00019438097319901147,
|
| 1220 |
+
"loss": 11.3035,
|
| 1221 |
+
"step": 172
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.09833735967031405,
|
| 1225 |
+
"grad_norm": 8223.53125,
|
| 1226 |
+
"learning_rate": 0.00019431205562972333,
|
| 1227 |
+
"loss": 11.0613,
|
| 1228 |
+
"step": 173
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.09890578371465113,
|
| 1232 |
+
"grad_norm": 4253.04150390625,
|
| 1233 |
+
"learning_rate": 0.00019424273036310158,
|
| 1234 |
+
"loss": 9.7612,
|
| 1235 |
+
"step": 174
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.0994742077589882,
|
| 1239 |
+
"grad_norm": 4771.42138671875,
|
| 1240 |
+
"learning_rate": 0.0001941729976988293,
|
| 1241 |
+
"loss": 8.2577,
|
| 1242 |
+
"step": 175
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.10004263180332527,
|
| 1246 |
+
"grad_norm": 3440.725830078125,
|
| 1247 |
+
"learning_rate": 0.00019410285793835069,
|
| 1248 |
+
"loss": 12.5277,
|
| 1249 |
+
"step": 176
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.10061105584766236,
|
| 1253 |
+
"grad_norm": 2819.26220703125,
|
| 1254 |
+
"learning_rate": 0.0001940323113848697,
|
| 1255 |
+
"loss": 10.7385,
|
| 1256 |
+
"step": 177
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.10117947989199944,
|
| 1260 |
+
"grad_norm": 4552.572265625,
|
| 1261 |
+
"learning_rate": 0.00019396135834334893,
|
| 1262 |
+
"loss": 12.0743,
|
| 1263 |
+
"step": 178
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.10174790393633651,
|
| 1267 |
+
"grad_norm": 7676.693359375,
|
| 1268 |
+
"learning_rate": 0.000193889999120508,
|
| 1269 |
+
"loss": 9.8995,
|
| 1270 |
+
"step": 179
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.10231632798067358,
|
| 1274 |
+
"grad_norm": 3235.019287109375,
|
| 1275 |
+
"learning_rate": 0.00019381823402482256,
|
| 1276 |
+
"loss": 11.0758,
|
| 1277 |
+
"step": 180
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.10288475202501066,
|
| 1281 |
+
"grad_norm": 2716.653076171875,
|
| 1282 |
+
"learning_rate": 0.00019374606336652265,
|
| 1283 |
+
"loss": 10.4924,
|
| 1284 |
+
"step": 181
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.10345317606934773,
|
| 1288 |
+
"grad_norm": 2976.852294921875,
|
| 1289 |
+
"learning_rate": 0.00019367348745759157,
|
| 1290 |
+
"loss": 12.2543,
|
| 1291 |
+
"step": 182
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.1040216001136848,
|
| 1295 |
+
"grad_norm": 5885.666015625,
|
| 1296 |
+
"learning_rate": 0.00019360050661176446,
|
| 1297 |
+
"loss": 9.8339,
|
| 1298 |
+
"step": 183
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.10459002415802189,
|
| 1302 |
+
"grad_norm": 3451.98046875,
|
| 1303 |
+
"learning_rate": 0.00019352712114452692,
|
| 1304 |
+
"loss": 9.919,
|
| 1305 |
+
"step": 184
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.10515844820235896,
|
| 1309 |
+
"grad_norm": 2482.541748046875,
|
| 1310 |
+
"learning_rate": 0.0001934533313731137,
|
| 1311 |
+
"loss": 11.3988,
|
| 1312 |
+
"step": 185
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.10572687224669604,
|
| 1316 |
+
"grad_norm": 5550.8798828125,
|
| 1317 |
+
"learning_rate": 0.0001933791376165072,
|
| 1318 |
+
"loss": 13.1169,
|
| 1319 |
+
"step": 186
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.10629529629103311,
|
| 1323 |
+
"grad_norm": 3188.782958984375,
|
| 1324 |
+
"learning_rate": 0.0001933045401954363,
|
| 1325 |
+
"loss": 13.2072,
|
| 1326 |
+
"step": 187
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.10686372033537019,
|
| 1330 |
+
"grad_norm": 4378.90478515625,
|
| 1331 |
+
"learning_rate": 0.00019322953943237488,
|
| 1332 |
+
"loss": 11.1468,
|
| 1333 |
+
"step": 188
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.10743214437970726,
|
| 1337 |
+
"grad_norm": 2656.765625,
|
| 1338 |
+
"learning_rate": 0.00019315413565154034,
|
| 1339 |
+
"loss": 12.1954,
|
| 1340 |
+
"step": 189
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.10800056842404433,
|
| 1344 |
+
"grad_norm": 1895.977294921875,
|
| 1345 |
+
"learning_rate": 0.00019307832917889224,
|
| 1346 |
+
"loss": 11.9331,
|
| 1347 |
+
"step": 190
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.1085689924683814,
|
| 1351 |
+
"grad_norm": 4219.88916015625,
|
| 1352 |
+
"learning_rate": 0.00019300212034213096,
|
| 1353 |
+
"loss": 12.6816,
|
| 1354 |
+
"step": 191
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.1091374165127185,
|
| 1358 |
+
"grad_norm": 5541.60791015625,
|
| 1359 |
+
"learning_rate": 0.00019292550947069633,
|
| 1360 |
+
"loss": 13.0854,
|
| 1361 |
+
"step": 192
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.10970584055705557,
|
| 1365 |
+
"grad_norm": 8763.7861328125,
|
| 1366 |
+
"learning_rate": 0.00019284849689576596,
|
| 1367 |
+
"loss": 12.3964,
|
| 1368 |
+
"step": 193
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.11027426460139264,
|
| 1372 |
+
"grad_norm": 1885.9329833984375,
|
| 1373 |
+
"learning_rate": 0.00019277108295025403,
|
| 1374 |
+
"loss": 12.9015,
|
| 1375 |
+
"step": 194
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.11084268864572971,
|
| 1379 |
+
"grad_norm": 6760.47509765625,
|
| 1380 |
+
"learning_rate": 0.00019269326796880987,
|
| 1381 |
+
"loss": 13.4623,
|
| 1382 |
+
"step": 195
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.11141111269006679,
|
| 1386 |
+
"grad_norm": 1420.9971923828125,
|
| 1387 |
+
"learning_rate": 0.00019261505228781626,
|
| 1388 |
+
"loss": 13.1383,
|
| 1389 |
+
"step": 196
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.11197953673440386,
|
| 1393 |
+
"grad_norm": 1789.84765625,
|
| 1394 |
+
"learning_rate": 0.0001925364362453883,
|
| 1395 |
+
"loss": 12.9684,
|
| 1396 |
+
"step": 197
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.11254796077874094,
|
| 1400 |
+
"grad_norm": 2940.865478515625,
|
| 1401 |
+
"learning_rate": 0.00019245742018137176,
|
| 1402 |
+
"loss": 12.1597,
|
| 1403 |
+
"step": 198
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.11311638482307802,
|
| 1407 |
+
"grad_norm": 3828.867919921875,
|
| 1408 |
+
"learning_rate": 0.00019237800443734155,
|
| 1409 |
+
"loss": 11.8966,
|
| 1410 |
+
"step": 199
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.1136848088674151,
|
| 1414 |
+
"grad_norm": 1485.7850341796875,
|
| 1415 |
+
"learning_rate": 0.00019229818935660045,
|
| 1416 |
+
"loss": 12.0223,
|
| 1417 |
+
"step": 200
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.11425323291175217,
|
| 1421 |
+
"grad_norm": 2678.6611328125,
|
| 1422 |
+
"learning_rate": 0.00019221797528417745,
|
| 1423 |
+
"loss": 11.5316,
|
| 1424 |
+
"step": 201
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.11482165695608924,
|
| 1428 |
+
"grad_norm": 4726.84521484375,
|
| 1429 |
+
"learning_rate": 0.0001921373625668264,
|
| 1430 |
+
"loss": 10.06,
|
| 1431 |
+
"step": 202
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.11539008100042632,
|
| 1435 |
+
"grad_norm": 2610.596923828125,
|
| 1436 |
+
"learning_rate": 0.00019205635155302434,
|
| 1437 |
+
"loss": 13.1575,
|
| 1438 |
+
"step": 203
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.11595850504476339,
|
| 1442 |
+
"grad_norm": 4310.37158203125,
|
| 1443 |
+
"learning_rate": 0.0001919749425929701,
|
| 1444 |
+
"loss": 12.6187,
|
| 1445 |
+
"step": 204
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.11652692908910046,
|
| 1449 |
+
"grad_norm": 3431.9853515625,
|
| 1450 |
+
"learning_rate": 0.0001918931360385829,
|
| 1451 |
+
"loss": 10.649,
|
| 1452 |
+
"step": 205
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.11709535313343754,
|
| 1456 |
+
"grad_norm": 2197.531005859375,
|
| 1457 |
+
"learning_rate": 0.0001918109322435005,
|
| 1458 |
+
"loss": 12.1493,
|
| 1459 |
+
"step": 206
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.11766377717777463,
|
| 1463 |
+
"grad_norm": 9167.5810546875,
|
| 1464 |
+
"learning_rate": 0.00019172833156307805,
|
| 1465 |
+
"loss": 16.0639,
|
| 1466 |
+
"step": 207
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.1182322012221117,
|
| 1470 |
+
"grad_norm": 3232.08935546875,
|
| 1471 |
+
"learning_rate": 0.00019164533435438627,
|
| 1472 |
+
"loss": 13.2877,
|
| 1473 |
+
"step": 208
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.11880062526644877,
|
| 1477 |
+
"grad_norm": 3288.341796875,
|
| 1478 |
+
"learning_rate": 0.00019156194097621007,
|
| 1479 |
+
"loss": 12.2261,
|
| 1480 |
+
"step": 209
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.11936904931078585,
|
| 1484 |
+
"grad_norm": 9568.271484375,
|
| 1485 |
+
"learning_rate": 0.00019147815178904693,
|
| 1486 |
+
"loss": 12.0787,
|
| 1487 |
+
"step": 210
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.11993747335512292,
|
| 1491 |
+
"grad_norm": 1965.083740234375,
|
| 1492 |
+
"learning_rate": 0.00019139396715510534,
|
| 1493 |
+
"loss": 11.956,
|
| 1494 |
+
"step": 211
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.12050589739946,
|
| 1498 |
+
"grad_norm": 2447.73193359375,
|
| 1499 |
+
"learning_rate": 0.00019130938743830328,
|
| 1500 |
+
"loss": 13.7234,
|
| 1501 |
+
"step": 212
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.12107432144379707,
|
| 1505 |
+
"grad_norm": 5586.15869140625,
|
| 1506 |
+
"learning_rate": 0.0001912244130042665,
|
| 1507 |
+
"loss": 11.81,
|
| 1508 |
+
"step": 213
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.12164274548813415,
|
| 1512 |
+
"grad_norm": 2780.562255859375,
|
| 1513 |
+
"learning_rate": 0.00019113904422032732,
|
| 1514 |
+
"loss": 12.7053,
|
| 1515 |
+
"step": 214
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.12221116953247123,
|
| 1519 |
+
"grad_norm": 1958.6663818359375,
|
| 1520 |
+
"learning_rate": 0.00019105328145552246,
|
| 1521 |
+
"loss": 12.8653,
|
| 1522 |
+
"step": 215
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.1227795935768083,
|
| 1526 |
+
"grad_norm": 2051.577880859375,
|
| 1527 |
+
"learning_rate": 0.00019096712508059196,
|
| 1528 |
+
"loss": 13.4584,
|
| 1529 |
+
"step": 216
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.12334801762114538,
|
| 1533 |
+
"grad_norm": 4086.435302734375,
|
| 1534 |
+
"learning_rate": 0.00019088057546797735,
|
| 1535 |
+
"loss": 13.8054,
|
| 1536 |
+
"step": 217
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.12391644166548245,
|
| 1540 |
+
"grad_norm": 4879.5966796875,
|
| 1541 |
+
"learning_rate": 0.00019079363299182004,
|
| 1542 |
+
"loss": 12.3353,
|
| 1543 |
+
"step": 218
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.12448486570981952,
|
| 1547 |
+
"grad_norm": 12456.7314453125,
|
| 1548 |
+
"learning_rate": 0.0001907062980279597,
|
| 1549 |
+
"loss": 11.2014,
|
| 1550 |
+
"step": 219
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.1250532897541566,
|
| 1554 |
+
"grad_norm": 4802.9072265625,
|
| 1555 |
+
"learning_rate": 0.00019061857095393277,
|
| 1556 |
+
"loss": 13.5862,
|
| 1557 |
+
"step": 220
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.12562171379849368,
|
| 1561 |
+
"grad_norm": 2849.338623046875,
|
| 1562 |
+
"learning_rate": 0.0001905304521489706,
|
| 1563 |
+
"loss": 12.072,
|
| 1564 |
+
"step": 221
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.12619013784283076,
|
| 1568 |
+
"grad_norm": 4029.34375,
|
| 1569 |
+
"learning_rate": 0.00019044194199399807,
|
| 1570 |
+
"loss": 11.8001,
|
| 1571 |
+
"step": 222
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.12675856188716783,
|
| 1575 |
+
"grad_norm": 5020.30615234375,
|
| 1576 |
+
"learning_rate": 0.00019035304087163167,
|
| 1577 |
+
"loss": 10.9671,
|
| 1578 |
+
"step": 223
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.1273269859315049,
|
| 1582 |
+
"grad_norm": 9186.296875,
|
| 1583 |
+
"learning_rate": 0.00019026374916617807,
|
| 1584 |
+
"loss": 13.6867,
|
| 1585 |
+
"step": 224
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.12789540997584198,
|
| 1589 |
+
"grad_norm": 3389.864990234375,
|
| 1590 |
+
"learning_rate": 0.00019017406726363242,
|
| 1591 |
+
"loss": 12.7294,
|
| 1592 |
+
"step": 225
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.12846383402017905,
|
| 1596 |
+
"grad_norm": 6309.7822265625,
|
| 1597 |
+
"learning_rate": 0.0001900839955516765,
|
| 1598 |
+
"loss": 13.0971,
|
| 1599 |
+
"step": 226
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.12903225806451613,
|
| 1603 |
+
"grad_norm": 2293.2294921875,
|
| 1604 |
+
"learning_rate": 0.00018999353441967728,
|
| 1605 |
+
"loss": 12.332,
|
| 1606 |
+
"step": 227
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.1296006821088532,
|
| 1610 |
+
"grad_norm": 5950.0126953125,
|
| 1611 |
+
"learning_rate": 0.00018990268425868513,
|
| 1612 |
+
"loss": 11.8517,
|
| 1613 |
+
"step": 228
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.13016910615319027,
|
| 1617 |
+
"grad_norm": 6341.48193359375,
|
| 1618 |
+
"learning_rate": 0.00018981144546143205,
|
| 1619 |
+
"loss": 15.1847,
|
| 1620 |
+
"step": 229
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.13073753019752735,
|
| 1624 |
+
"grad_norm": 1336.18896484375,
|
| 1625 |
+
"learning_rate": 0.0001897198184223302,
|
| 1626 |
+
"loss": 12.4568,
|
| 1627 |
+
"step": 230
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.13130595424186442,
|
| 1631 |
+
"grad_norm": 3987.446044921875,
|
| 1632 |
+
"learning_rate": 0.00018962780353746995,
|
| 1633 |
+
"loss": 12.7261,
|
| 1634 |
+
"step": 231
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.1318743782862015,
|
| 1638 |
+
"grad_norm": 2917.445556640625,
|
| 1639 |
+
"learning_rate": 0.0001895354012046183,
|
| 1640 |
+
"loss": 12.623,
|
| 1641 |
+
"step": 232
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.1324428023305386,
|
| 1645 |
+
"grad_norm": 4980.18994140625,
|
| 1646 |
+
"learning_rate": 0.0001894426118232171,
|
| 1647 |
+
"loss": 13.2703,
|
| 1648 |
+
"step": 233
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.13301122637487567,
|
| 1652 |
+
"grad_norm": 7874.12255859375,
|
| 1653 |
+
"learning_rate": 0.00018934943579438144,
|
| 1654 |
+
"loss": 12.3513,
|
| 1655 |
+
"step": 234
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.13357965041921274,
|
| 1659 |
+
"grad_norm": 1594.990478515625,
|
| 1660 |
+
"learning_rate": 0.0001892558735208977,
|
| 1661 |
+
"loss": 13.0442,
|
| 1662 |
+
"step": 235
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.13414807446354982,
|
| 1666 |
+
"grad_norm": 3103.23974609375,
|
| 1667 |
+
"learning_rate": 0.00018916192540722207,
|
| 1668 |
+
"loss": 14.6219,
|
| 1669 |
+
"step": 236
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.1347164985078869,
|
| 1673 |
+
"grad_norm": 1444.2427978515625,
|
| 1674 |
+
"learning_rate": 0.00018906759185947857,
|
| 1675 |
+
"loss": 11.6902,
|
| 1676 |
+
"step": 237
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.13528492255222396,
|
| 1680 |
+
"grad_norm": 3407.40087890625,
|
| 1681 |
+
"learning_rate": 0.00018897287328545752,
|
| 1682 |
+
"loss": 11.0158,
|
| 1683 |
+
"step": 238
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.13585334659656104,
|
| 1687 |
+
"grad_norm": 1644.69873046875,
|
| 1688 |
+
"learning_rate": 0.00018887777009461346,
|
| 1689 |
+
"loss": 13.374,
|
| 1690 |
+
"step": 239
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.1364217706408981,
|
| 1694 |
+
"grad_norm": 3099.279541015625,
|
| 1695 |
+
"learning_rate": 0.00018878228269806382,
|
| 1696 |
+
"loss": 13.3341,
|
| 1697 |
+
"step": 240
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.13699019468523518,
|
| 1701 |
+
"grad_norm": 5028.576171875,
|
| 1702 |
+
"learning_rate": 0.00018868641150858668,
|
| 1703 |
+
"loss": 14.1646,
|
| 1704 |
+
"step": 241
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.13755861872957226,
|
| 1708 |
+
"grad_norm": 1891.924072265625,
|
| 1709 |
+
"learning_rate": 0.00018859015694061925,
|
| 1710 |
+
"loss": 10.3512,
|
| 1711 |
+
"step": 242
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.13812704277390933,
|
| 1715 |
+
"grad_norm": 1996.42578125,
|
| 1716 |
+
"learning_rate": 0.00018849351941025615,
|
| 1717 |
+
"loss": 11.7482,
|
| 1718 |
+
"step": 243
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.1386954668182464,
|
| 1722 |
+
"grad_norm": 1995.262939453125,
|
| 1723 |
+
"learning_rate": 0.00018839649933524735,
|
| 1724 |
+
"loss": 14.3018,
|
| 1725 |
+
"step": 244
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.13926389086258348,
|
| 1729 |
+
"grad_norm": 3902.045166015625,
|
| 1730 |
+
"learning_rate": 0.00018829909713499656,
|
| 1731 |
+
"loss": 11.7036,
|
| 1732 |
+
"step": 245
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.13983231490692055,
|
| 1736 |
+
"grad_norm": 1602.975341796875,
|
| 1737 |
+
"learning_rate": 0.0001882013132305594,
|
| 1738 |
+
"loss": 11.7867,
|
| 1739 |
+
"step": 246
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.14040073895125763,
|
| 1743 |
+
"grad_norm": 7255.88818359375,
|
| 1744 |
+
"learning_rate": 0.00018810314804464144,
|
| 1745 |
+
"loss": 11.4703,
|
| 1746 |
+
"step": 247
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.14096916299559473,
|
| 1750 |
+
"grad_norm": 5502.51416015625,
|
| 1751 |
+
"learning_rate": 0.00018800460200159657,
|
| 1752 |
+
"loss": 13.6289,
|
| 1753 |
+
"step": 248
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.1415375870399318,
|
| 1757 |
+
"grad_norm": 4792.44384765625,
|
| 1758 |
+
"learning_rate": 0.00018790567552742505,
|
| 1759 |
+
"loss": 14.5212,
|
| 1760 |
+
"step": 249
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.14210601108426887,
|
| 1764 |
+
"grad_norm": 3758.884521484375,
|
| 1765 |
+
"learning_rate": 0.00018780636904977167,
|
| 1766 |
+
"loss": 13.2351,
|
| 1767 |
+
"step": 250
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.14267443512860595,
|
| 1771 |
+
"grad_norm": 3761.82080078125,
|
| 1772 |
+
"learning_rate": 0.0001877066829979239,
|
| 1773 |
+
"loss": 11.1298,
|
| 1774 |
+
"step": 251
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.14324285917294302,
|
| 1778 |
+
"grad_norm": 4422.80224609375,
|
| 1779 |
+
"learning_rate": 0.0001876066178028101,
|
| 1780 |
+
"loss": 12.2986,
|
| 1781 |
+
"step": 252
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.1438112832172801,
|
| 1785 |
+
"grad_norm": 1997.0972900390625,
|
| 1786 |
+
"learning_rate": 0.0001875061738969976,
|
| 1787 |
+
"loss": 11.6043,
|
| 1788 |
+
"step": 253
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.14437970726161717,
|
| 1792 |
+
"grad_norm": 2278.685791015625,
|
| 1793 |
+
"learning_rate": 0.0001874053517146908,
|
| 1794 |
+
"loss": 11.22,
|
| 1795 |
+
"step": 254
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.14494813130595424,
|
| 1799 |
+
"grad_norm": 8272.763671875,
|
| 1800 |
+
"learning_rate": 0.00018730415169172942,
|
| 1801 |
+
"loss": 10.7463,
|
| 1802 |
+
"step": 255
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.14551655535029132,
|
| 1806 |
+
"grad_norm": 2491.65576171875,
|
| 1807 |
+
"learning_rate": 0.00018720257426558642,
|
| 1808 |
+
"loss": 13.1333,
|
| 1809 |
+
"step": 256
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.1460849793946284,
|
| 1813 |
+
"grad_norm": 1537.728271484375,
|
| 1814 |
+
"learning_rate": 0.00018710061987536628,
|
| 1815 |
+
"loss": 11.1176,
|
| 1816 |
+
"step": 257
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.14665340343896546,
|
| 1820 |
+
"grad_norm": 1369.56298828125,
|
| 1821 |
+
"learning_rate": 0.00018699828896180312,
|
| 1822 |
+
"loss": 12.4531,
|
| 1823 |
+
"step": 258
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.14722182748330254,
|
| 1827 |
+
"grad_norm": 1322.3084716796875,
|
| 1828 |
+
"learning_rate": 0.00018689558196725853,
|
| 1829 |
+
"loss": 12.325,
|
| 1830 |
+
"step": 259
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.1477902515276396,
|
| 1834 |
+
"grad_norm": 10544.2890625,
|
| 1835 |
+
"learning_rate": 0.00018679249933571999,
|
| 1836 |
+
"loss": 12.0443,
|
| 1837 |
+
"step": 260
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.14835867557197668,
|
| 1841 |
+
"grad_norm": 2657.380615234375,
|
| 1842 |
+
"learning_rate": 0.00018668904151279876,
|
| 1843 |
+
"loss": 10.444,
|
| 1844 |
+
"step": 261
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.14892709961631376,
|
| 1848 |
+
"grad_norm": 1990.4234619140625,
|
| 1849 |
+
"learning_rate": 0.00018658520894572798,
|
| 1850 |
+
"loss": 12.5582,
|
| 1851 |
+
"step": 262
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.14949552366065086,
|
| 1855 |
+
"grad_norm": 4418.38525390625,
|
| 1856 |
+
"learning_rate": 0.0001864810020833608,
|
| 1857 |
+
"loss": 11.4966,
|
| 1858 |
+
"step": 263
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.15006394770498793,
|
| 1862 |
+
"grad_norm": 2691.17822265625,
|
| 1863 |
+
"learning_rate": 0.00018637642137616837,
|
| 1864 |
+
"loss": 10.963,
|
| 1865 |
+
"step": 264
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.150632371749325,
|
| 1869 |
+
"grad_norm": 1920.5191650390625,
|
| 1870 |
+
"learning_rate": 0.0001862714672762379,
|
| 1871 |
+
"loss": 12.9823,
|
| 1872 |
+
"step": 265
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.15120079579366208,
|
| 1876 |
+
"grad_norm": 3860.548828125,
|
| 1877 |
+
"learning_rate": 0.00018616614023727075,
|
| 1878 |
+
"loss": 12.5424,
|
| 1879 |
+
"step": 266
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.15176921983799915,
|
| 1883 |
+
"grad_norm": 6393.43994140625,
|
| 1884 |
+
"learning_rate": 0.00018606044071458038,
|
| 1885 |
+
"loss": 11.2672,
|
| 1886 |
+
"step": 267
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.15233764388233623,
|
| 1890 |
+
"grad_norm": 4462.0322265625,
|
| 1891 |
+
"learning_rate": 0.00018595436916509056,
|
| 1892 |
+
"loss": 16.8448,
|
| 1893 |
+
"step": 268
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.1529060679266733,
|
| 1897 |
+
"grad_norm": 1656.4317626953125,
|
| 1898 |
+
"learning_rate": 0.0001858479260473332,
|
| 1899 |
+
"loss": 10.8226,
|
| 1900 |
+
"step": 269
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.15347449197101037,
|
| 1904 |
+
"grad_norm": 2701.659912109375,
|
| 1905 |
+
"learning_rate": 0.00018574111182144637,
|
| 1906 |
+
"loss": 11.9604,
|
| 1907 |
+
"step": 270
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.15404291601534745,
|
| 1911 |
+
"grad_norm": 6866.8134765625,
|
| 1912 |
+
"learning_rate": 0.0001856339269491726,
|
| 1913 |
+
"loss": 11.4421,
|
| 1914 |
+
"step": 271
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.15461134005968452,
|
| 1918 |
+
"grad_norm": 1585.0523681640625,
|
| 1919 |
+
"learning_rate": 0.00018552637189385643,
|
| 1920 |
+
"loss": 11.2402,
|
| 1921 |
+
"step": 272
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.1551797641040216,
|
| 1925 |
+
"grad_norm": 2695.2822265625,
|
| 1926 |
+
"learning_rate": 0.00018541844712044285,
|
| 1927 |
+
"loss": 12.7832,
|
| 1928 |
+
"step": 273
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.15574818814835867,
|
| 1932 |
+
"grad_norm": 1258.8656005859375,
|
| 1933 |
+
"learning_rate": 0.00018531015309547494,
|
| 1934 |
+
"loss": 13.7431,
|
| 1935 |
+
"step": 274
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.15631661219269574,
|
| 1939 |
+
"grad_norm": 949.9840087890625,
|
| 1940 |
+
"learning_rate": 0.00018520149028709206,
|
| 1941 |
+
"loss": 11.9473,
|
| 1942 |
+
"step": 275
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.15688503623703282,
|
| 1946 |
+
"grad_norm": 1541.031005859375,
|
| 1947 |
+
"learning_rate": 0.00018509245916502779,
|
| 1948 |
+
"loss": 8.9786,
|
| 1949 |
+
"step": 276
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.1574534602813699,
|
| 1953 |
+
"grad_norm": 1811.456298828125,
|
| 1954 |
+
"learning_rate": 0.00018498306020060782,
|
| 1955 |
+
"loss": 11.1169,
|
| 1956 |
+
"step": 277
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.158021884325707,
|
| 1960 |
+
"grad_norm": 1015.3645629882812,
|
| 1961 |
+
"learning_rate": 0.00018487329386674808,
|
| 1962 |
+
"loss": 10.9756,
|
| 1963 |
+
"step": 278
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.15859030837004406,
|
| 1967 |
+
"grad_norm": 1195.05712890625,
|
| 1968 |
+
"learning_rate": 0.0001847631606379524,
|
| 1969 |
+
"loss": 12.434,
|
| 1970 |
+
"step": 279
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.15915873241438114,
|
| 1974 |
+
"grad_norm": 1368.8919677734375,
|
| 1975 |
+
"learning_rate": 0.00018465266099031082,
|
| 1976 |
+
"loss": 11.0154,
|
| 1977 |
+
"step": 280
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.1597271564587182,
|
| 1981 |
+
"grad_norm": 2175.390380859375,
|
| 1982 |
+
"learning_rate": 0.00018454179540149728,
|
| 1983 |
+
"loss": 11.712,
|
| 1984 |
+
"step": 281
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.16029558050305528,
|
| 1988 |
+
"grad_norm": 1087.5726318359375,
|
| 1989 |
+
"learning_rate": 0.0001844305643507676,
|
| 1990 |
+
"loss": 10.6293,
|
| 1991 |
+
"step": 282
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.16086400454739236,
|
| 1995 |
+
"grad_norm": 1140.515380859375,
|
| 1996 |
+
"learning_rate": 0.0001843189683189575,
|
| 1997 |
+
"loss": 11.0227,
|
| 1998 |
+
"step": 283
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.16143242859172943,
|
| 2002 |
+
"grad_norm": 1044.4326171875,
|
| 2003 |
+
"learning_rate": 0.00018420700778848043,
|
| 2004 |
+
"loss": 9.3956,
|
| 2005 |
+
"step": 284
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.1620008526360665,
|
| 2009 |
+
"grad_norm": 2006.2518310546875,
|
| 2010 |
+
"learning_rate": 0.0001840946832433255,
|
| 2011 |
+
"loss": 11.541,
|
| 2012 |
+
"step": 285
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.16256927668040358,
|
| 2016 |
+
"grad_norm": 5861.81298828125,
|
| 2017 |
+
"learning_rate": 0.00018398199516905548,
|
| 2018 |
+
"loss": 13.8056,
|
| 2019 |
+
"step": 286
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.16313770072474065,
|
| 2023 |
+
"grad_norm": 1458.2388916015625,
|
| 2024 |
+
"learning_rate": 0.00018386894405280453,
|
| 2025 |
+
"loss": 12.7987,
|
| 2026 |
+
"step": 287
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.16370612476907773,
|
| 2030 |
+
"grad_norm": 2750.82373046875,
|
| 2031 |
+
"learning_rate": 0.00018375553038327622,
|
| 2032 |
+
"loss": 13.4016,
|
| 2033 |
+
"step": 288
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.1642745488134148,
|
| 2037 |
+
"grad_norm": 1254.9464111328125,
|
| 2038 |
+
"learning_rate": 0.00018364175465074135,
|
| 2039 |
+
"loss": 12.5969,
|
| 2040 |
+
"step": 289
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.16484297285775187,
|
| 2044 |
+
"grad_norm": 19019.25390625,
|
| 2045 |
+
"learning_rate": 0.00018352761734703602,
|
| 2046 |
+
"loss": 11.2982,
|
| 2047 |
+
"step": 290
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.16541139690208895,
|
| 2051 |
+
"grad_norm": 2205.30908203125,
|
| 2052 |
+
"learning_rate": 0.0001834131189655591,
|
| 2053 |
+
"loss": 12.3371,
|
| 2054 |
+
"step": 291
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.16597982094642602,
|
| 2058 |
+
"grad_norm": 3541.462646484375,
|
| 2059 |
+
"learning_rate": 0.00018329826000127057,
|
| 2060 |
+
"loss": 11.5133,
|
| 2061 |
+
"step": 292
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.16654824499076312,
|
| 2065 |
+
"grad_norm": 10169.9482421875,
|
| 2066 |
+
"learning_rate": 0.00018318304095068909,
|
| 2067 |
+
"loss": 13.7055,
|
| 2068 |
+
"step": 293
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.1671166690351002,
|
| 2072 |
+
"grad_norm": 2107.942626953125,
|
| 2073 |
+
"learning_rate": 0.00018306746231188978,
|
| 2074 |
+
"loss": 12.0856,
|
| 2075 |
+
"step": 294
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.16768509307943727,
|
| 2079 |
+
"grad_norm": 3659.464599609375,
|
| 2080 |
+
"learning_rate": 0.00018295152458450243,
|
| 2081 |
+
"loss": 10.785,
|
| 2082 |
+
"step": 295
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.16825351712377434,
|
| 2086 |
+
"grad_norm": 2204.259521484375,
|
| 2087 |
+
"learning_rate": 0.000182835228269709,
|
| 2088 |
+
"loss": 10.9013,
|
| 2089 |
+
"step": 296
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.16882194116811142,
|
| 2093 |
+
"grad_norm": 1345.0950927734375,
|
| 2094 |
+
"learning_rate": 0.00018271857387024154,
|
| 2095 |
+
"loss": 10.9842,
|
| 2096 |
+
"step": 297
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.1693903652124485,
|
| 2100 |
+
"grad_norm": 1188.415771484375,
|
| 2101 |
+
"learning_rate": 0.00018260156189038015,
|
| 2102 |
+
"loss": 11.9986,
|
| 2103 |
+
"step": 298
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.16995878925678556,
|
| 2107 |
+
"grad_norm": 852.0604248046875,
|
| 2108 |
+
"learning_rate": 0.0001824841928359506,
|
| 2109 |
+
"loss": 10.5311,
|
| 2110 |
+
"step": 299
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.17052721330112264,
|
| 2114 |
+
"grad_norm": 4719.693359375,
|
| 2115 |
+
"learning_rate": 0.00018236646721432235,
|
| 2116 |
+
"loss": 8.7847,
|
| 2117 |
+
"step": 300
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.1710956373454597,
|
| 2121 |
+
"grad_norm": 2755.71923828125,
|
| 2122 |
+
"learning_rate": 0.00018224838553440606,
|
| 2123 |
+
"loss": 13.4404,
|
| 2124 |
+
"step": 301
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.17166406138979678,
|
| 2128 |
+
"grad_norm": 898.6322021484375,
|
| 2129 |
+
"learning_rate": 0.00018212994830665182,
|
| 2130 |
+
"loss": 10.0005,
|
| 2131 |
+
"step": 302
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.17223248543413386,
|
| 2135 |
+
"grad_norm": 4063.603515625,
|
| 2136 |
+
"learning_rate": 0.00018201115604304656,
|
| 2137 |
+
"loss": 12.3396,
|
| 2138 |
+
"step": 303
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.17280090947847093,
|
| 2142 |
+
"grad_norm": 1588.1654052734375,
|
| 2143 |
+
"learning_rate": 0.00018189200925711196,
|
| 2144 |
+
"loss": 12.1632,
|
| 2145 |
+
"step": 304
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.173369333522808,
|
| 2149 |
+
"grad_norm": 3080.884033203125,
|
| 2150 |
+
"learning_rate": 0.0001817725084639023,
|
| 2151 |
+
"loss": 12.9716,
|
| 2152 |
+
"step": 305
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.17393775756714508,
|
| 2156 |
+
"grad_norm": 1664.848388671875,
|
| 2157 |
+
"learning_rate": 0.0001816526541800022,
|
| 2158 |
+
"loss": 10.1787,
|
| 2159 |
+
"step": 306
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.17450618161148215,
|
| 2163 |
+
"grad_norm": 14394.3740234375,
|
| 2164 |
+
"learning_rate": 0.00018153244692352432,
|
| 2165 |
+
"loss": 11.9161,
|
| 2166 |
+
"step": 307
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.17507460565581925,
|
| 2170 |
+
"grad_norm": 2257.2421875,
|
| 2171 |
+
"learning_rate": 0.00018141188721410717,
|
| 2172 |
+
"loss": 11.7464,
|
| 2173 |
+
"step": 308
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.17564302970015633,
|
| 2177 |
+
"grad_norm": 1703.25927734375,
|
| 2178 |
+
"learning_rate": 0.00018129097557291292,
|
| 2179 |
+
"loss": 14.1072,
|
| 2180 |
+
"step": 309
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.1762114537444934,
|
| 2184 |
+
"grad_norm": 1446.6278076171875,
|
| 2185 |
+
"learning_rate": 0.00018116971252262503,
|
| 2186 |
+
"loss": 12.2933,
|
| 2187 |
+
"step": 310
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.17677987778883048,
|
| 2191 |
+
"grad_norm": 3190.185791015625,
|
| 2192 |
+
"learning_rate": 0.0001810480985874461,
|
| 2193 |
+
"loss": 13.9696,
|
| 2194 |
+
"step": 311
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.17734830183316755,
|
| 2198 |
+
"grad_norm": 21618.0078125,
|
| 2199 |
+
"learning_rate": 0.0001809261342930955,
|
| 2200 |
+
"loss": 15.1179,
|
| 2201 |
+
"step": 312
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.17791672587750462,
|
| 2205 |
+
"grad_norm": 1274.9013671875,
|
| 2206 |
+
"learning_rate": 0.0001808038201668072,
|
| 2207 |
+
"loss": 13.7353,
|
| 2208 |
+
"step": 313
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 0.1784851499218417,
|
| 2212 |
+
"grad_norm": 7062.59375,
|
| 2213 |
+
"learning_rate": 0.0001806811567373274,
|
| 2214 |
+
"loss": 12.3906,
|
| 2215 |
+
"step": 314
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 0.17905357396617877,
|
| 2219 |
+
"grad_norm": 1014.2584838867188,
|
| 2220 |
+
"learning_rate": 0.00018055814453491232,
|
| 2221 |
+
"loss": 10.0779,
|
| 2222 |
+
"step": 315
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 0.17962199801051584,
|
| 2226 |
+
"grad_norm": 2294.896728515625,
|
| 2227 |
+
"learning_rate": 0.0001804347840913259,
|
| 2228 |
+
"loss": 13.85,
|
| 2229 |
+
"step": 316
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.18019042205485292,
|
| 2233 |
+
"grad_norm": 1380.632080078125,
|
| 2234 |
+
"learning_rate": 0.00018031107593983737,
|
| 2235 |
+
"loss": 12.4406,
|
| 2236 |
+
"step": 317
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 0.18075884609919,
|
| 2240 |
+
"grad_norm": 2982.55419921875,
|
| 2241 |
+
"learning_rate": 0.00018018702061521917,
|
| 2242 |
+
"loss": 11.1636,
|
| 2243 |
+
"step": 318
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 0.18132727014352706,
|
| 2247 |
+
"grad_norm": 9898.26953125,
|
| 2248 |
+
"learning_rate": 0.00018006261865374446,
|
| 2249 |
+
"loss": 12.7255,
|
| 2250 |
+
"step": 319
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.18189569418786414,
|
| 2254 |
+
"grad_norm": 7027.0048828125,
|
| 2255 |
+
"learning_rate": 0.00017993787059318486,
|
| 2256 |
+
"loss": 13.5697,
|
| 2257 |
+
"step": 320
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 0.1824641182322012,
|
| 2261 |
+
"grad_norm": 2703.15673828125,
|
| 2262 |
+
"learning_rate": 0.00017981277697280815,
|
| 2263 |
+
"loss": 10.6677,
|
| 2264 |
+
"step": 321
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 0.18303254227653828,
|
| 2268 |
+
"grad_norm": 5552.56689453125,
|
| 2269 |
+
"learning_rate": 0.0001796873383333759,
|
| 2270 |
+
"loss": 13.6973,
|
| 2271 |
+
"step": 322
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.1836009663208754,
|
| 2275 |
+
"grad_norm": 1792.861572265625,
|
| 2276 |
+
"learning_rate": 0.00017956155521714115,
|
| 2277 |
+
"loss": 11.7813,
|
| 2278 |
+
"step": 323
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 0.18416939036521246,
|
| 2282 |
+
"grad_norm": 1677.70703125,
|
| 2283 |
+
"learning_rate": 0.00017943542816784605,
|
| 2284 |
+
"loss": 11.7493,
|
| 2285 |
+
"step": 324
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 0.18473781440954953,
|
| 2289 |
+
"grad_norm": 3065.983642578125,
|
| 2290 |
+
"learning_rate": 0.00017930895773071956,
|
| 2291 |
+
"loss": 14.5555,
|
| 2292 |
+
"step": 325
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 0.1853062384538866,
|
| 2296 |
+
"grad_norm": 2134.20947265625,
|
| 2297 |
+
"learning_rate": 0.000179182144452475,
|
| 2298 |
+
"loss": 12.2791,
|
| 2299 |
+
"step": 326
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 0.18587466249822368,
|
| 2303 |
+
"grad_norm": 1505.5361328125,
|
| 2304 |
+
"learning_rate": 0.0001790549888813078,
|
| 2305 |
+
"loss": 10.6904,
|
| 2306 |
+
"step": 327
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 0.18644308654256075,
|
| 2310 |
+
"grad_norm": 1918.1795654296875,
|
| 2311 |
+
"learning_rate": 0.00017892749156689307,
|
| 2312 |
+
"loss": 10.8969,
|
| 2313 |
+
"step": 328
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.18701151058689783,
|
| 2317 |
+
"grad_norm": 1818.625,
|
| 2318 |
+
"learning_rate": 0.00017879965306038314,
|
| 2319 |
+
"loss": 13.2012,
|
| 2320 |
+
"step": 329
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 0.1875799346312349,
|
| 2324 |
+
"grad_norm": 1994.570556640625,
|
| 2325 |
+
"learning_rate": 0.00017867147391440534,
|
| 2326 |
+
"loss": 10.5649,
|
| 2327 |
+
"step": 330
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 0.18814835867557198,
|
| 2331 |
+
"grad_norm": 1111.2037353515625,
|
| 2332 |
+
"learning_rate": 0.00017854295468305956,
|
| 2333 |
+
"loss": 13.3289,
|
| 2334 |
+
"step": 331
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 0.18871678271990905,
|
| 2338 |
+
"grad_norm": 1132.3131103515625,
|
| 2339 |
+
"learning_rate": 0.00017841409592191576,
|
| 2340 |
+
"loss": 11.2649,
|
| 2341 |
+
"step": 332
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 0.18928520676424612,
|
| 2345 |
+
"grad_norm": 4223.74951171875,
|
| 2346 |
+
"learning_rate": 0.0001782848981880117,
|
| 2347 |
+
"loss": 11.3041,
|
| 2348 |
+
"step": 333
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 0.1898536308085832,
|
| 2352 |
+
"grad_norm": 4478.46826171875,
|
| 2353 |
+
"learning_rate": 0.0001781553620398504,
|
| 2354 |
+
"loss": 12.6508,
|
| 2355 |
+
"step": 334
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 0.19042205485292027,
|
| 2359 |
+
"grad_norm": 2291.978515625,
|
| 2360 |
+
"learning_rate": 0.00017802548803739785,
|
| 2361 |
+
"loss": 13.0596,
|
| 2362 |
+
"step": 335
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 0.19099047889725734,
|
| 2366 |
+
"grad_norm": 2809.587158203125,
|
| 2367 |
+
"learning_rate": 0.00017789527674208052,
|
| 2368 |
+
"loss": 12.392,
|
| 2369 |
+
"step": 336
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 0.19155890294159442,
|
| 2373 |
+
"grad_norm": 1859.555908203125,
|
| 2374 |
+
"learning_rate": 0.00017776472871678295,
|
| 2375 |
+
"loss": 12.668,
|
| 2376 |
+
"step": 337
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 0.19212732698593152,
|
| 2380 |
+
"grad_norm": 2988.171142578125,
|
| 2381 |
+
"learning_rate": 0.00017763384452584537,
|
| 2382 |
+
"loss": 11.2274,
|
| 2383 |
+
"step": 338
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
+
"epoch": 0.1926957510302686,
|
| 2387 |
+
"grad_norm": 884.398193359375,
|
| 2388 |
+
"learning_rate": 0.00017750262473506103,
|
| 2389 |
+
"loss": 13.544,
|
| 2390 |
+
"step": 339
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 0.19326417507460567,
|
| 2394 |
+
"grad_norm": 6331.970703125,
|
| 2395 |
+
"learning_rate": 0.00017737106991167414,
|
| 2396 |
+
"loss": 10.6381,
|
| 2397 |
+
"step": 340
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 0.19383259911894274,
|
| 2401 |
+
"grad_norm": 4517.8837890625,
|
| 2402 |
+
"learning_rate": 0.0001772391806243771,
|
| 2403 |
+
"loss": 12.4022,
|
| 2404 |
+
"step": 341
|
| 2405 |
+
},
|
| 2406 |
+
{
|
| 2407 |
+
"epoch": 0.1944010231632798,
|
| 2408 |
+
"grad_norm": 5656.2353515625,
|
| 2409 |
+
"learning_rate": 0.00017710695744330813,
|
| 2410 |
+
"loss": 11.8059,
|
| 2411 |
+
"step": 342
|
| 2412 |
+
},
|
| 2413 |
+
{
|
| 2414 |
+
"epoch": 0.19496944720761689,
|
| 2415 |
+
"grad_norm": 2568.832275390625,
|
| 2416 |
+
"learning_rate": 0.00017697440094004892,
|
| 2417 |
+
"loss": 10.8074,
|
| 2418 |
+
"step": 343
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 0.19553787125195396,
|
| 2422 |
+
"grad_norm": 9009.8232421875,
|
| 2423 |
+
"learning_rate": 0.00017684151168762192,
|
| 2424 |
+
"loss": 10.8937,
|
| 2425 |
+
"step": 344
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 0.19610629529629103,
|
| 2429 |
+
"grad_norm": 3261.870849609375,
|
| 2430 |
+
"learning_rate": 0.00017670829026048817,
|
| 2431 |
+
"loss": 10.4608,
|
| 2432 |
+
"step": 345
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 0.1966747193406281,
|
| 2436 |
+
"grad_norm": 2830.861572265625,
|
| 2437 |
+
"learning_rate": 0.0001765747372345445,
|
| 2438 |
+
"loss": 14.387,
|
| 2439 |
+
"step": 346
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.19724314338496518,
|
| 2443 |
+
"grad_norm": 902.2265625,
|
| 2444 |
+
"learning_rate": 0.0001764408531871213,
|
| 2445 |
+
"loss": 13.6699,
|
| 2446 |
+
"step": 347
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 0.19781156742930225,
|
| 2450 |
+
"grad_norm": 4266.66650390625,
|
| 2451 |
+
"learning_rate": 0.00017630663869697992,
|
| 2452 |
+
"loss": 12.4768,
|
| 2453 |
+
"step": 348
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.19837999147363933,
|
| 2457 |
+
"grad_norm": 2162.527587890625,
|
| 2458 |
+
"learning_rate": 0.00017617209434431005,
|
| 2459 |
+
"loss": 12.7676,
|
| 2460 |
+
"step": 349
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 0.1989484155179764,
|
| 2464 |
+
"grad_norm": 2415.94091796875,
|
| 2465 |
+
"learning_rate": 0.00017603722071072748,
|
| 2466 |
+
"loss": 11.1853,
|
| 2467 |
+
"step": 350
|
| 2468 |
+
},
|
| 2469 |
+
{
|
| 2470 |
+
"epoch": 0.19951683956231347,
|
| 2471 |
+
"grad_norm": 2408.1376953125,
|
| 2472 |
+
"learning_rate": 0.00017590201837927133,
|
| 2473 |
+
"loss": 11.8255,
|
| 2474 |
+
"step": 351
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 0.20008526360665055,
|
| 2478 |
+
"grad_norm": 2698.591552734375,
|
| 2479 |
+
"learning_rate": 0.0001757664879344016,
|
| 2480 |
+
"loss": 11.0812,
|
| 2481 |
+
"step": 352
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 0.20065368765098765,
|
| 2485 |
+
"grad_norm": 2491.31787109375,
|
| 2486 |
+
"learning_rate": 0.00017563062996199687,
|
| 2487 |
+
"loss": 11.8187,
|
| 2488 |
+
"step": 353
|
| 2489 |
+
},
|
| 2490 |
+
{
|
| 2491 |
+
"epoch": 0.20122211169532472,
|
| 2492 |
+
"grad_norm": 9000.8408203125,
|
| 2493 |
+
"learning_rate": 0.00017549444504935132,
|
| 2494 |
+
"loss": 12.9253,
|
| 2495 |
+
"step": 354
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 0.2017905357396618,
|
| 2499 |
+
"grad_norm": 2151.921875,
|
| 2500 |
+
"learning_rate": 0.0001753579337851727,
|
| 2501 |
+
"loss": 12.3966,
|
| 2502 |
+
"step": 355
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 0.20235895978399887,
|
| 2506 |
+
"grad_norm": 5135.994140625,
|
| 2507 |
+
"learning_rate": 0.00017522109675957928,
|
| 2508 |
+
"loss": 11.432,
|
| 2509 |
+
"step": 356
|
| 2510 |
+
},
|
| 2511 |
+
{
|
| 2512 |
+
"epoch": 0.20292738382833594,
|
| 2513 |
+
"grad_norm": 2409.67626953125,
|
| 2514 |
+
"learning_rate": 0.00017508393456409772,
|
| 2515 |
+
"loss": 11.6589,
|
| 2516 |
+
"step": 357
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 0.20349580787267302,
|
| 2520 |
+
"grad_norm": 1465.730224609375,
|
| 2521 |
+
"learning_rate": 0.00017494644779166027,
|
| 2522 |
+
"loss": 11.9227,
|
| 2523 |
+
"step": 358
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.2040642319170101,
|
| 2527 |
+
"grad_norm": 1712.6947021484375,
|
| 2528 |
+
"learning_rate": 0.00017480863703660235,
|
| 2529 |
+
"loss": 11.9249,
|
| 2530 |
+
"step": 359
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.20463265596134717,
|
| 2534 |
+
"grad_norm": 20784.3359375,
|
| 2535 |
+
"learning_rate": 0.00017467050289465981,
|
| 2536 |
+
"loss": 11.027,
|
| 2537 |
+
"step": 360
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.20520108000568424,
|
| 2541 |
+
"grad_norm": 2024.4476318359375,
|
| 2542 |
+
"learning_rate": 0.0001745320459629665,
|
| 2543 |
+
"loss": 11.4299,
|
| 2544 |
+
"step": 361
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 0.2057695040500213,
|
| 2548 |
+
"grad_norm": 6059.2177734375,
|
| 2549 |
+
"learning_rate": 0.0001743932668400517,
|
| 2550 |
+
"loss": 10.421,
|
| 2551 |
+
"step": 362
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 0.20633792809435839,
|
| 2555 |
+
"grad_norm": 1232.2406005859375,
|
| 2556 |
+
"learning_rate": 0.0001742541661258374,
|
| 2557 |
+
"loss": 11.6251,
|
| 2558 |
+
"step": 363
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 0.20690635213869546,
|
| 2562 |
+
"grad_norm": 2170.210205078125,
|
| 2563 |
+
"learning_rate": 0.00017411474442163578,
|
| 2564 |
+
"loss": 14.4437,
|
| 2565 |
+
"step": 364
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.20747477618303253,
|
| 2569 |
+
"grad_norm": 1405.988037109375,
|
| 2570 |
+
"learning_rate": 0.00017397500233014667,
|
| 2571 |
+
"loss": 10.8243,
|
| 2572 |
+
"step": 365
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 0.2080432002273696,
|
| 2576 |
+
"grad_norm": 2395.445556640625,
|
| 2577 |
+
"learning_rate": 0.00017383494045545485,
|
| 2578 |
+
"loss": 11.6437,
|
| 2579 |
+
"step": 366
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 0.20861162427170668,
|
| 2583 |
+
"grad_norm": 10106.9404296875,
|
| 2584 |
+
"learning_rate": 0.0001736945594030275,
|
| 2585 |
+
"loss": 12.8797,
|
| 2586 |
+
"step": 367
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.20918004831604378,
|
| 2590 |
+
"grad_norm": 5351.23779296875,
|
| 2591 |
+
"learning_rate": 0.0001735538597797115,
|
| 2592 |
+
"loss": 12.555,
|
| 2593 |
+
"step": 368
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 0.20974847236038086,
|
| 2597 |
+
"grad_norm": 8931.0205078125,
|
| 2598 |
+
"learning_rate": 0.00017341284219373092,
|
| 2599 |
+
"loss": 11.1019,
|
| 2600 |
+
"step": 369
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 0.21031689640471793,
|
| 2604 |
+
"grad_norm": 3570.2431640625,
|
| 2605 |
+
"learning_rate": 0.00017327150725468437,
|
| 2606 |
+
"loss": 13.7804,
|
| 2607 |
+
"step": 370
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 0.210885320449055,
|
| 2611 |
+
"grad_norm": 9746.34375,
|
| 2612 |
+
"learning_rate": 0.00017312985557354225,
|
| 2613 |
+
"loss": 11.3145,
|
| 2614 |
+
"step": 371
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 0.21145374449339208,
|
| 2618 |
+
"grad_norm": 2833.336669921875,
|
| 2619 |
+
"learning_rate": 0.00017298788776264423,
|
| 2620 |
+
"loss": 14.7045,
|
| 2621 |
+
"step": 372
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 0.21202216853772915,
|
| 2625 |
+
"grad_norm": 3378.20654296875,
|
| 2626 |
+
"learning_rate": 0.00017284560443569657,
|
| 2627 |
+
"loss": 9.795,
|
| 2628 |
+
"step": 373
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 0.21259059258206622,
|
| 2632 |
+
"grad_norm": 5840.08447265625,
|
| 2633 |
+
"learning_rate": 0.00017270300620776942,
|
| 2634 |
+
"loss": 10.8172,
|
| 2635 |
+
"step": 374
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 0.2131590166264033,
|
| 2639 |
+
"grad_norm": 3910.785888671875,
|
| 2640 |
+
"learning_rate": 0.0001725600936952943,
|
| 2641 |
+
"loss": 11.8837,
|
| 2642 |
+
"step": 375
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 0.21372744067074037,
|
| 2646 |
+
"grad_norm": 2122.12158203125,
|
| 2647 |
+
"learning_rate": 0.00017241686751606115,
|
| 2648 |
+
"loss": 12.598,
|
| 2649 |
+
"step": 376
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.21429586471507744,
|
| 2653 |
+
"grad_norm": 2105.682373046875,
|
| 2654 |
+
"learning_rate": 0.00017227332828921612,
|
| 2655 |
+
"loss": 12.0783,
|
| 2656 |
+
"step": 377
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 0.21486428875941452,
|
| 2660 |
+
"grad_norm": 3060.28369140625,
|
| 2661 |
+
"learning_rate": 0.0001721294766352583,
|
| 2662 |
+
"loss": 10.7985,
|
| 2663 |
+
"step": 378
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"epoch": 0.2154327128037516,
|
| 2667 |
+
"grad_norm": 2431.94775390625,
|
| 2668 |
+
"learning_rate": 0.00017198531317603766,
|
| 2669 |
+
"loss": 11.4005,
|
| 2670 |
+
"step": 379
|
| 2671 |
+
},
|
| 2672 |
+
{
|
| 2673 |
+
"epoch": 0.21600113684808867,
|
| 2674 |
+
"grad_norm": 1950.9508056640625,
|
| 2675 |
+
"learning_rate": 0.00017184083853475182,
|
| 2676 |
+
"loss": 12.1844,
|
| 2677 |
+
"step": 380
|
| 2678 |
+
},
|
| 2679 |
+
{
|
| 2680 |
+
"epoch": 0.21656956089242574,
|
| 2681 |
+
"grad_norm": 7467.8984375,
|
| 2682 |
+
"learning_rate": 0.00017169605333594375,
|
| 2683 |
+
"loss": 12.6121,
|
| 2684 |
+
"step": 381
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 0.21656956089242574,
|
| 2688 |
+
"eval_loss": 2.956733465194702,
|
| 2689 |
+
"eval_runtime": 5.4757,
|
| 2690 |
+
"eval_samples_per_second": 135.326,
|
| 2691 |
+
"eval_steps_per_second": 67.754,
|
| 2692 |
+
"step": 381
|
| 2693 |
+
}
|
| 2694 |
+
],
|
| 2695 |
+
"logging_steps": 1,
|
| 2696 |
+
"max_steps": 1521,
|
| 2697 |
+
"num_input_tokens_seen": 0,
|
| 2698 |
+
"num_train_epochs": 1,
|
| 2699 |
+
"save_steps": 381,
|
| 2700 |
+
"stateful_callbacks": {
|
| 2701 |
+
"TrainerControl": {
|
| 2702 |
+
"args": {
|
| 2703 |
+
"should_epoch_stop": false,
|
| 2704 |
+
"should_evaluate": false,
|
| 2705 |
+
"should_log": false,
|
| 2706 |
+
"should_save": true,
|
| 2707 |
+
"should_training_stop": false
|
| 2708 |
+
},
|
| 2709 |
+
"attributes": {}
|
| 2710 |
+
}
|
| 2711 |
+
},
|
| 2712 |
+
"total_flos": 1594233024675840.0,
|
| 2713 |
+
"train_batch_size": 2,
|
| 2714 |
+
"trial_name": null,
|
| 2715 |
+
"trial_params": null
|
| 2716 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ebc51a4f0a402f36df55f990394a1b283af0ce612bd14acc31af5eff9a32d946
|
| 3 |
+
size 6776
|