Instructions to use ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 348, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +4 -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.model +3 -0
- last-checkpoint/tokenizer_config.json +63 -0
- last-checkpoint/trainer_state.json +2485 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/OpenHermes-2.5-Mistral-7B
|
| 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 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/OpenHermes-2.5-Mistral-7B",
|
| 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 |
+
"k_proj",
|
| 24 |
+
"up_proj",
|
| 25 |
+
"down_proj",
|
| 26 |
+
"q_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"o_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ec5c825b43bbc6bb7cd09f76689d876e75953a6d1fbaa30fedef9fd963efcfe
|
| 3 |
+
size 83945296
|
last-checkpoint/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|im_end|>": 32000,
|
| 3 |
+
"<|im_start|>": 32001
|
| 4 |
+
}
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d32c126647bf298d773e959f33764ac33fc97e6ded37422c897310d84c9bfba
|
| 3 |
+
size 43123028
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8359c45b2046e610bef352743a42432f3c1fd9f8c9db27fba49075c95b07823
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c09a30f43b8b0ea81cea46f36d3c705dcbf107d423dcc0433a9a5d4d300bbdca
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|im_end|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 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.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<|im_end|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<|im_start|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"additional_special_tokens": [],
|
| 48 |
+
"bos_token": "<s>",
|
| 49 |
+
"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 %}",
|
| 50 |
+
"clean_up_tokenization_spaces": false,
|
| 51 |
+
"eos_token": "<|im_end|>",
|
| 52 |
+
"legacy": true,
|
| 53 |
+
"model_max_length": 32768,
|
| 54 |
+
"pad_token": "<unk>",
|
| 55 |
+
"padding_side": "right",
|
| 56 |
+
"sp_model_kwargs": {},
|
| 57 |
+
"spaces_between_special_tokens": false,
|
| 58 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 59 |
+
"trust_remote_code": false,
|
| 60 |
+
"unk_token": "<unk>",
|
| 61 |
+
"use_default_system_prompt": true,
|
| 62 |
+
"use_fast": true
|
| 63 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2485 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.06824198450828513,
|
| 5 |
+
"eval_steps": 348,
|
| 6 |
+
"global_step": 348,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.00019609765663300324,
|
| 13 |
+
"grad_norm": 20.33372688293457,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 3.0843,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.00019609765663300324,
|
| 20 |
+
"eval_loss": 1.1017773151397705,
|
| 21 |
+
"eval_runtime": 79.9135,
|
| 22 |
+
"eval_samples_per_second": 26.879,
|
| 23 |
+
"eval_steps_per_second": 13.44,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0003921953132660065,
|
| 28 |
+
"grad_norm": 19.32895278930664,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 3.2221,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0005882929698990097,
|
| 35 |
+
"grad_norm": 18.6882266998291,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 3.8951,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.000784390626532013,
|
| 42 |
+
"grad_norm": 43.008060455322266,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 5.167,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0009804882831650162,
|
| 49 |
+
"grad_norm": 21.642993927001953,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 3.1304,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0011765859397980193,
|
| 56 |
+
"grad_norm": 29.79266929626465,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 4.5153,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0013726835964310226,
|
| 63 |
+
"grad_norm": 25.503681182861328,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 3.8083,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.001568781253064026,
|
| 70 |
+
"grad_norm": 32.35524368286133,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 4.253,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0017648789096970292,
|
| 77 |
+
"grad_norm": 21.053390502929688,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 3.3757,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0019609765663300325,
|
| 84 |
+
"grad_norm": 25.7067928314209,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 3.2484,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0021570742229630358,
|
| 91 |
+
"grad_norm": 22.57227897644043,
|
| 92 |
+
"learning_rate": 0.00019999974049780868,
|
| 93 |
+
"loss": 2.8378,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0023531718795960386,
|
| 98 |
+
"grad_norm": 19.06597900390625,
|
| 99 |
+
"learning_rate": 0.00019999896199258152,
|
| 100 |
+
"loss": 3.231,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.002549269536229042,
|
| 105 |
+
"grad_norm": 17.590620040893555,
|
| 106 |
+
"learning_rate": 0.000199997664488359,
|
| 107 |
+
"loss": 2.2391,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.002745367192862045,
|
| 112 |
+
"grad_norm": 8.627043724060059,
|
| 113 |
+
"learning_rate": 0.00019999584799187522,
|
| 114 |
+
"loss": 1.7095,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.0029414648494950485,
|
| 119 |
+
"grad_norm": 21.60858917236328,
|
| 120 |
+
"learning_rate": 0.0001999935125125579,
|
| 121 |
+
"loss": 3.9299,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.003137562506128052,
|
| 126 |
+
"grad_norm": 8.075380325317383,
|
| 127 |
+
"learning_rate": 0.00019999065806252829,
|
| 128 |
+
"loss": 1.7939,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.003333660162761055,
|
| 133 |
+
"grad_norm": 11.393594741821289,
|
| 134 |
+
"learning_rate": 0.00019998728465660105,
|
| 135 |
+
"loss": 1.601,
|
| 136 |
+
"step": 17
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0035297578193940584,
|
| 140 |
+
"grad_norm": 8.256339073181152,
|
| 141 |
+
"learning_rate": 0.00019998339231228434,
|
| 142 |
+
"loss": 3.1556,
|
| 143 |
+
"step": 18
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.0037258554760270617,
|
| 147 |
+
"grad_norm": 20.03615951538086,
|
| 148 |
+
"learning_rate": 0.0001999789810497796,
|
| 149 |
+
"loss": 2.0883,
|
| 150 |
+
"step": 19
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.003921953132660065,
|
| 154 |
+
"grad_norm": 10.166353225708008,
|
| 155 |
+
"learning_rate": 0.0001999740508919815,
|
| 156 |
+
"loss": 3.5616,
|
| 157 |
+
"step": 20
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.004118050789293068,
|
| 161 |
+
"grad_norm": 15.80553913116455,
|
| 162 |
+
"learning_rate": 0.0001999686018644777,
|
| 163 |
+
"loss": 3.0344,
|
| 164 |
+
"step": 21
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.0043141484459260715,
|
| 168 |
+
"grad_norm": 7.451974391937256,
|
| 169 |
+
"learning_rate": 0.00019996263399554897,
|
| 170 |
+
"loss": 2.1049,
|
| 171 |
+
"step": 22
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.004510246102559075,
|
| 175 |
+
"grad_norm": 5.434274673461914,
|
| 176 |
+
"learning_rate": 0.00019995614731616875,
|
| 177 |
+
"loss": 2.3178,
|
| 178 |
+
"step": 23
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.004706343759192077,
|
| 182 |
+
"grad_norm": 10.594315528869629,
|
| 183 |
+
"learning_rate": 0.00019994914186000328,
|
| 184 |
+
"loss": 1.7096,
|
| 185 |
+
"step": 24
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.0049024414158250805,
|
| 189 |
+
"grad_norm": 5.348718166351318,
|
| 190 |
+
"learning_rate": 0.0001999416176634111,
|
| 191 |
+
"loss": 2.695,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.005098539072458084,
|
| 196 |
+
"grad_norm": 17.776073455810547,
|
| 197 |
+
"learning_rate": 0.00019993357476544312,
|
| 198 |
+
"loss": 1.7411,
|
| 199 |
+
"step": 26
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.005294636729091087,
|
| 203 |
+
"grad_norm": 10.051606178283691,
|
| 204 |
+
"learning_rate": 0.0001999250132078424,
|
| 205 |
+
"loss": 2.6161,
|
| 206 |
+
"step": 27
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.00549073438572409,
|
| 210 |
+
"grad_norm": 26.03020668029785,
|
| 211 |
+
"learning_rate": 0.00019991593303504376,
|
| 212 |
+
"loss": 3.3977,
|
| 213 |
+
"step": 28
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.005686832042357094,
|
| 217 |
+
"grad_norm": 10.213540077209473,
|
| 218 |
+
"learning_rate": 0.00019990633429417363,
|
| 219 |
+
"loss": 1.2442,
|
| 220 |
+
"step": 29
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.005882929698990097,
|
| 224 |
+
"grad_norm": 11.69288444519043,
|
| 225 |
+
"learning_rate": 0.00019989621703505,
|
| 226 |
+
"loss": 1.4702,
|
| 227 |
+
"step": 30
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.0060790273556231,
|
| 231 |
+
"grad_norm": 4.343452453613281,
|
| 232 |
+
"learning_rate": 0.00019988558131018186,
|
| 233 |
+
"loss": 1.0779,
|
| 234 |
+
"step": 31
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.006275125012256104,
|
| 238 |
+
"grad_norm": 9.106976509094238,
|
| 239 |
+
"learning_rate": 0.00019987442717476906,
|
| 240 |
+
"loss": 2.5887,
|
| 241 |
+
"step": 32
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.006471222668889107,
|
| 245 |
+
"grad_norm": 17.658370971679688,
|
| 246 |
+
"learning_rate": 0.00019986275468670205,
|
| 247 |
+
"loss": 2.2258,
|
| 248 |
+
"step": 33
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.00666732032552211,
|
| 252 |
+
"grad_norm": 6.7451090812683105,
|
| 253 |
+
"learning_rate": 0.00019985056390656162,
|
| 254 |
+
"loss": 1.7206,
|
| 255 |
+
"step": 34
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.0068634179821551134,
|
| 259 |
+
"grad_norm": 28.07065200805664,
|
| 260 |
+
"learning_rate": 0.00019983785489761837,
|
| 261 |
+
"loss": 2.7356,
|
| 262 |
+
"step": 35
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.007059515638788117,
|
| 266 |
+
"grad_norm": 11.387879371643066,
|
| 267 |
+
"learning_rate": 0.00019982462772583266,
|
| 268 |
+
"loss": 1.973,
|
| 269 |
+
"step": 36
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.00725561329542112,
|
| 273 |
+
"grad_norm": 9.64372444152832,
|
| 274 |
+
"learning_rate": 0.00019981088245985408,
|
| 275 |
+
"loss": 2.7339,
|
| 276 |
+
"step": 37
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.007451710952054123,
|
| 280 |
+
"grad_norm": 9.302544593811035,
|
| 281 |
+
"learning_rate": 0.00019979661917102115,
|
| 282 |
+
"loss": 1.7498,
|
| 283 |
+
"step": 38
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.007647808608687127,
|
| 287 |
+
"grad_norm": 15.064400672912598,
|
| 288 |
+
"learning_rate": 0.000199781837933361,
|
| 289 |
+
"loss": 3.0109,
|
| 290 |
+
"step": 39
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.00784390626532013,
|
| 294 |
+
"grad_norm": 7.281099319458008,
|
| 295 |
+
"learning_rate": 0.00019976653882358884,
|
| 296 |
+
"loss": 1.3118,
|
| 297 |
+
"step": 40
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.008040003921953132,
|
| 301 |
+
"grad_norm": 6.4474873542785645,
|
| 302 |
+
"learning_rate": 0.0001997507219211078,
|
| 303 |
+
"loss": 1.408,
|
| 304 |
+
"step": 41
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.008236101578586136,
|
| 308 |
+
"grad_norm": 13.101079940795898,
|
| 309 |
+
"learning_rate": 0.00019973438730800822,
|
| 310 |
+
"loss": 2.3367,
|
| 311 |
+
"step": 42
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.008432199235219139,
|
| 315 |
+
"grad_norm": 5.951049327850342,
|
| 316 |
+
"learning_rate": 0.00019971753506906753,
|
| 317 |
+
"loss": 0.9101,
|
| 318 |
+
"step": 43
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.008628296891852143,
|
| 322 |
+
"grad_norm": 11.212276458740234,
|
| 323 |
+
"learning_rate": 0.00019970016529174947,
|
| 324 |
+
"loss": 2.7058,
|
| 325 |
+
"step": 44
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.008824394548485145,
|
| 329 |
+
"grad_norm": 8.68136978149414,
|
| 330 |
+
"learning_rate": 0.0001996822780662041,
|
| 331 |
+
"loss": 2.0276,
|
| 332 |
+
"step": 45
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.00902049220511815,
|
| 336 |
+
"grad_norm": 17.70038414001465,
|
| 337 |
+
"learning_rate": 0.00019966387348526683,
|
| 338 |
+
"loss": 2.7989,
|
| 339 |
+
"step": 46
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.009216589861751152,
|
| 343 |
+
"grad_norm": 10.247598648071289,
|
| 344 |
+
"learning_rate": 0.00019964495164445824,
|
| 345 |
+
"loss": 1.9618,
|
| 346 |
+
"step": 47
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.009412687518384154,
|
| 350 |
+
"grad_norm": 10.378255844116211,
|
| 351 |
+
"learning_rate": 0.0001996255126419835,
|
| 352 |
+
"loss": 1.8003,
|
| 353 |
+
"step": 48
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.009608785175017159,
|
| 357 |
+
"grad_norm": 31.620820999145508,
|
| 358 |
+
"learning_rate": 0.0001996055565787319,
|
| 359 |
+
"loss": 2.8785,
|
| 360 |
+
"step": 49
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.009804882831650161,
|
| 364 |
+
"grad_norm": 9.976147651672363,
|
| 365 |
+
"learning_rate": 0.0001995850835582763,
|
| 366 |
+
"loss": 2.5605,
|
| 367 |
+
"step": 50
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.010000980488283165,
|
| 371 |
+
"grad_norm": 11.751899719238281,
|
| 372 |
+
"learning_rate": 0.00019956409368687258,
|
| 373 |
+
"loss": 2.7556,
|
| 374 |
+
"step": 51
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.010197078144916168,
|
| 378 |
+
"grad_norm": 15.828932762145996,
|
| 379 |
+
"learning_rate": 0.000199542587073459,
|
| 380 |
+
"loss": 2.7773,
|
| 381 |
+
"step": 52
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.010393175801549172,
|
| 385 |
+
"grad_norm": 10.772979736328125,
|
| 386 |
+
"learning_rate": 0.00019952056382965597,
|
| 387 |
+
"loss": 1.9553,
|
| 388 |
+
"step": 53
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.010589273458182174,
|
| 392 |
+
"grad_norm": 10.821427345275879,
|
| 393 |
+
"learning_rate": 0.00019949802406976495,
|
| 394 |
+
"loss": 1.8528,
|
| 395 |
+
"step": 54
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.010785371114815178,
|
| 399 |
+
"grad_norm": 7.228662490844727,
|
| 400 |
+
"learning_rate": 0.00019947496791076837,
|
| 401 |
+
"loss": 1.1844,
|
| 402 |
+
"step": 55
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.01098146877144818,
|
| 406 |
+
"grad_norm": 7.164773941040039,
|
| 407 |
+
"learning_rate": 0.00019945139547232872,
|
| 408 |
+
"loss": 1.0291,
|
| 409 |
+
"step": 56
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.011177566428081185,
|
| 413 |
+
"grad_norm": 13.927733421325684,
|
| 414 |
+
"learning_rate": 0.0001994273068767879,
|
| 415 |
+
"loss": 1.5417,
|
| 416 |
+
"step": 57
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.011373664084714187,
|
| 420 |
+
"grad_norm": 10.366493225097656,
|
| 421 |
+
"learning_rate": 0.00019940270224916688,
|
| 422 |
+
"loss": 1.5122,
|
| 423 |
+
"step": 58
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.011569761741347192,
|
| 427 |
+
"grad_norm": 11.2214994430542,
|
| 428 |
+
"learning_rate": 0.00019937758171716468,
|
| 429 |
+
"loss": 1.6003,
|
| 430 |
+
"step": 59
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.011765859397980194,
|
| 434 |
+
"grad_norm": 14.360090255737305,
|
| 435 |
+
"learning_rate": 0.000199351945411158,
|
| 436 |
+
"loss": 1.5651,
|
| 437 |
+
"step": 60
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.011961957054613198,
|
| 441 |
+
"grad_norm": 17.97150993347168,
|
| 442 |
+
"learning_rate": 0.00019932579346420038,
|
| 443 |
+
"loss": 1.6064,
|
| 444 |
+
"step": 61
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.0121580547112462,
|
| 448 |
+
"grad_norm": 10.190518379211426,
|
| 449 |
+
"learning_rate": 0.00019929912601202151,
|
| 450 |
+
"loss": 1.9151,
|
| 451 |
+
"step": 62
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.012354152367879203,
|
| 455 |
+
"grad_norm": 13.573248863220215,
|
| 456 |
+
"learning_rate": 0.00019927194319302677,
|
| 457 |
+
"loss": 4.0602,
|
| 458 |
+
"step": 63
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.012550250024512207,
|
| 462 |
+
"grad_norm": 16.919841766357422,
|
| 463 |
+
"learning_rate": 0.00019924424514829606,
|
| 464 |
+
"loss": 2.8292,
|
| 465 |
+
"step": 64
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.01274634768114521,
|
| 469 |
+
"grad_norm": 58.470252990722656,
|
| 470 |
+
"learning_rate": 0.00019921603202158354,
|
| 471 |
+
"loss": 1.9637,
|
| 472 |
+
"step": 65
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.012942445337778214,
|
| 476 |
+
"grad_norm": 18.334800720214844,
|
| 477 |
+
"learning_rate": 0.00019918730395931649,
|
| 478 |
+
"loss": 2.5609,
|
| 479 |
+
"step": 66
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.013138542994411216,
|
| 483 |
+
"grad_norm": 12.280759811401367,
|
| 484 |
+
"learning_rate": 0.00019915806111059486,
|
| 485 |
+
"loss": 1.2495,
|
| 486 |
+
"step": 67
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.01333464065104422,
|
| 490 |
+
"grad_norm": 8.015874862670898,
|
| 491 |
+
"learning_rate": 0.0001991283036271903,
|
| 492 |
+
"loss": 1.505,
|
| 493 |
+
"step": 68
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.013530738307677223,
|
| 497 |
+
"grad_norm": 7.713284969329834,
|
| 498 |
+
"learning_rate": 0.0001990980316635455,
|
| 499 |
+
"loss": 2.3898,
|
| 500 |
+
"step": 69
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.013726835964310227,
|
| 504 |
+
"grad_norm": 18.01800537109375,
|
| 505 |
+
"learning_rate": 0.00019906724537677316,
|
| 506 |
+
"loss": 3.0263,
|
| 507 |
+
"step": 70
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.01392293362094323,
|
| 511 |
+
"grad_norm": 21.270421981811523,
|
| 512 |
+
"learning_rate": 0.00019903594492665558,
|
| 513 |
+
"loss": 3.2547,
|
| 514 |
+
"step": 71
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.014119031277576233,
|
| 518 |
+
"grad_norm": 21.60205841064453,
|
| 519 |
+
"learning_rate": 0.0001990041304756434,
|
| 520 |
+
"loss": 2.577,
|
| 521 |
+
"step": 72
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.014315128934209236,
|
| 525 |
+
"grad_norm": 10.01419734954834,
|
| 526 |
+
"learning_rate": 0.00019897180218885507,
|
| 527 |
+
"loss": 1.9092,
|
| 528 |
+
"step": 73
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.01451122659084224,
|
| 532 |
+
"grad_norm": 14.10943603515625,
|
| 533 |
+
"learning_rate": 0.00019893896023407578,
|
| 534 |
+
"loss": 2.2377,
|
| 535 |
+
"step": 74
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.014707324247475242,
|
| 539 |
+
"grad_norm": 11.310667037963867,
|
| 540 |
+
"learning_rate": 0.0001989056047817567,
|
| 541 |
+
"loss": 1.6645,
|
| 542 |
+
"step": 75
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.014903421904108247,
|
| 546 |
+
"grad_norm": 6.586666107177734,
|
| 547 |
+
"learning_rate": 0.0001988717360050141,
|
| 548 |
+
"loss": 2.2651,
|
| 549 |
+
"step": 76
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.015099519560741249,
|
| 553 |
+
"grad_norm": 4.402716159820557,
|
| 554 |
+
"learning_rate": 0.00019883735407962846,
|
| 555 |
+
"loss": 1.3483,
|
| 556 |
+
"step": 77
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.015295617217374253,
|
| 560 |
+
"grad_norm": 9.384387016296387,
|
| 561 |
+
"learning_rate": 0.00019880245918404342,
|
| 562 |
+
"loss": 2.6391,
|
| 563 |
+
"step": 78
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.015491714874007256,
|
| 567 |
+
"grad_norm": 6.753894329071045,
|
| 568 |
+
"learning_rate": 0.000198767051499365,
|
| 569 |
+
"loss": 2.9391,
|
| 570 |
+
"step": 79
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.01568781253064026,
|
| 574 |
+
"grad_norm": 6.399787902832031,
|
| 575 |
+
"learning_rate": 0.00019873113120936074,
|
| 576 |
+
"loss": 3.7452,
|
| 577 |
+
"step": 80
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.01588391018727326,
|
| 581 |
+
"grad_norm": 8.880107879638672,
|
| 582 |
+
"learning_rate": 0.00019869469850045842,
|
| 583 |
+
"loss": 1.2771,
|
| 584 |
+
"step": 81
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.016080007843906265,
|
| 588 |
+
"grad_norm": 12.630661964416504,
|
| 589 |
+
"learning_rate": 0.00019865775356174545,
|
| 590 |
+
"loss": 2.2072,
|
| 591 |
+
"step": 82
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.01627610550053927,
|
| 595 |
+
"grad_norm": 7.974503993988037,
|
| 596 |
+
"learning_rate": 0.00019862029658496762,
|
| 597 |
+
"loss": 1.9795,
|
| 598 |
+
"step": 83
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.016472203157172273,
|
| 602 |
+
"grad_norm": 50.43594741821289,
|
| 603 |
+
"learning_rate": 0.00019858232776452837,
|
| 604 |
+
"loss": 1.5331,
|
| 605 |
+
"step": 84
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.016668300813805274,
|
| 609 |
+
"grad_norm": 7.273484230041504,
|
| 610 |
+
"learning_rate": 0.00019854384729748746,
|
| 611 |
+
"loss": 2.4005,
|
| 612 |
+
"step": 85
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.016864398470438278,
|
| 616 |
+
"grad_norm": 5.826492786407471,
|
| 617 |
+
"learning_rate": 0.00019850485538356027,
|
| 618 |
+
"loss": 2.1915,
|
| 619 |
+
"step": 86
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.017060496127071282,
|
| 623 |
+
"grad_norm": 9.881019592285156,
|
| 624 |
+
"learning_rate": 0.0001984653522251165,
|
| 625 |
+
"loss": 2.3309,
|
| 626 |
+
"step": 87
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.017256593783704286,
|
| 630 |
+
"grad_norm": 9.147713661193848,
|
| 631 |
+
"learning_rate": 0.00019842533802717923,
|
| 632 |
+
"loss": 1.1404,
|
| 633 |
+
"step": 88
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.017452691440337287,
|
| 637 |
+
"grad_norm": 13.98263931274414,
|
| 638 |
+
"learning_rate": 0.00019838481299742398,
|
| 639 |
+
"loss": 1.2166,
|
| 640 |
+
"step": 89
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.01764878909697029,
|
| 644 |
+
"grad_norm": 8.206791877746582,
|
| 645 |
+
"learning_rate": 0.0001983437773461774,
|
| 646 |
+
"loss": 2.6039,
|
| 647 |
+
"step": 90
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.017844886753603295,
|
| 651 |
+
"grad_norm": 10.445443153381348,
|
| 652 |
+
"learning_rate": 0.00019830223128641637,
|
| 653 |
+
"loss": 2.3554,
|
| 654 |
+
"step": 91
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.0180409844102363,
|
| 658 |
+
"grad_norm": 11.756292343139648,
|
| 659 |
+
"learning_rate": 0.00019826017503376666,
|
| 660 |
+
"loss": 1.7371,
|
| 661 |
+
"step": 92
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.0182370820668693,
|
| 665 |
+
"grad_norm": 7.509032249450684,
|
| 666 |
+
"learning_rate": 0.00019821760880650214,
|
| 667 |
+
"loss": 1.389,
|
| 668 |
+
"step": 93
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.018433179723502304,
|
| 672 |
+
"grad_norm": 8.619280815124512,
|
| 673 |
+
"learning_rate": 0.00019817453282554333,
|
| 674 |
+
"loss": 1.6818,
|
| 675 |
+
"step": 94
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.01862927738013531,
|
| 679 |
+
"grad_norm": 9.11640739440918,
|
| 680 |
+
"learning_rate": 0.00019813094731445654,
|
| 681 |
+
"loss": 1.631,
|
| 682 |
+
"step": 95
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.01882537503676831,
|
| 686 |
+
"grad_norm": 14.109521865844727,
|
| 687 |
+
"learning_rate": 0.00019808685249945245,
|
| 688 |
+
"loss": 2.0497,
|
| 689 |
+
"step": 96
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.019021472693401313,
|
| 693 |
+
"grad_norm": 10.804281234741211,
|
| 694 |
+
"learning_rate": 0.00019804224860938506,
|
| 695 |
+
"loss": 2.2364,
|
| 696 |
+
"step": 97
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.019217570350034317,
|
| 700 |
+
"grad_norm": 7.363731384277344,
|
| 701 |
+
"learning_rate": 0.0001979971358757505,
|
| 702 |
+
"loss": 1.0967,
|
| 703 |
+
"step": 98
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.01941366800666732,
|
| 707 |
+
"grad_norm": 15.269912719726562,
|
| 708 |
+
"learning_rate": 0.0001979515145326859,
|
| 709 |
+
"loss": 2.8752,
|
| 710 |
+
"step": 99
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.019609765663300322,
|
| 714 |
+
"grad_norm": 5.457535266876221,
|
| 715 |
+
"learning_rate": 0.000197905384816968,
|
| 716 |
+
"loss": 1.7098,
|
| 717 |
+
"step": 100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.019805863319933326,
|
| 721 |
+
"grad_norm": 4.689967632293701,
|
| 722 |
+
"learning_rate": 0.00019785874696801202,
|
| 723 |
+
"loss": 2.2133,
|
| 724 |
+
"step": 101
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.02000196097656633,
|
| 728 |
+
"grad_norm": 10.993409156799316,
|
| 729 |
+
"learning_rate": 0.00019781160122787046,
|
| 730 |
+
"loss": 2.314,
|
| 731 |
+
"step": 102
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.020198058633199335,
|
| 735 |
+
"grad_norm": 8.199251174926758,
|
| 736 |
+
"learning_rate": 0.00019776394784123177,
|
| 737 |
+
"loss": 2.5164,
|
| 738 |
+
"step": 103
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.020394156289832335,
|
| 742 |
+
"grad_norm": 15.144885063171387,
|
| 743 |
+
"learning_rate": 0.00019771578705541916,
|
| 744 |
+
"loss": 2.0058,
|
| 745 |
+
"step": 104
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.02059025394646534,
|
| 749 |
+
"grad_norm": 5.252450466156006,
|
| 750 |
+
"learning_rate": 0.00019766711912038915,
|
| 751 |
+
"loss": 1.7012,
|
| 752 |
+
"step": 105
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.020786351603098344,
|
| 756 |
+
"grad_norm": 8.265049934387207,
|
| 757 |
+
"learning_rate": 0.0001976179442887305,
|
| 758 |
+
"loss": 1.8646,
|
| 759 |
+
"step": 106
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.020982449259731348,
|
| 763 |
+
"grad_norm": 8.365408897399902,
|
| 764 |
+
"learning_rate": 0.00019756826281566272,
|
| 765 |
+
"loss": 1.9615,
|
| 766 |
+
"step": 107
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.02117854691636435,
|
| 770 |
+
"grad_norm": 7.514213562011719,
|
| 771 |
+
"learning_rate": 0.00019751807495903484,
|
| 772 |
+
"loss": 1.4897,
|
| 773 |
+
"step": 108
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.021374644572997353,
|
| 777 |
+
"grad_norm": 15.234655380249023,
|
| 778 |
+
"learning_rate": 0.00019746738097932407,
|
| 779 |
+
"loss": 2.0467,
|
| 780 |
+
"step": 109
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.021570742229630357,
|
| 784 |
+
"grad_norm": 6.856448650360107,
|
| 785 |
+
"learning_rate": 0.0001974161811396343,
|
| 786 |
+
"loss": 1.4492,
|
| 787 |
+
"step": 110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.021766839886263357,
|
| 791 |
+
"grad_norm": 7.893224716186523,
|
| 792 |
+
"learning_rate": 0.00019736447570569503,
|
| 793 |
+
"loss": 1.919,
|
| 794 |
+
"step": 111
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.02196293754289636,
|
| 798 |
+
"grad_norm": 8.966511726379395,
|
| 799 |
+
"learning_rate": 0.0001973122649458597,
|
| 800 |
+
"loss": 2.4484,
|
| 801 |
+
"step": 112
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.022159035199529366,
|
| 805 |
+
"grad_norm": 7.631579875946045,
|
| 806 |
+
"learning_rate": 0.00019725954913110442,
|
| 807 |
+
"loss": 1.4992,
|
| 808 |
+
"step": 113
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.02235513285616237,
|
| 812 |
+
"grad_norm": 7.418518543243408,
|
| 813 |
+
"learning_rate": 0.0001972063285350266,
|
| 814 |
+
"loss": 0.8401,
|
| 815 |
+
"step": 114
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.02255123051279537,
|
| 819 |
+
"grad_norm": 7.739930629730225,
|
| 820 |
+
"learning_rate": 0.00019715260343384347,
|
| 821 |
+
"loss": 2.0713,
|
| 822 |
+
"step": 115
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.022747328169428375,
|
| 826 |
+
"grad_norm": 6.441893100738525,
|
| 827 |
+
"learning_rate": 0.00019709837410639063,
|
| 828 |
+
"loss": 1.4438,
|
| 829 |
+
"step": 116
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.02294342582606138,
|
| 833 |
+
"grad_norm": 6.008083820343018,
|
| 834 |
+
"learning_rate": 0.0001970436408341207,
|
| 835 |
+
"loss": 1.3503,
|
| 836 |
+
"step": 117
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.023139523482694383,
|
| 840 |
+
"grad_norm": 7.100820541381836,
|
| 841 |
+
"learning_rate": 0.00019698840390110176,
|
| 842 |
+
"loss": 1.4726,
|
| 843 |
+
"step": 118
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.023335621139327384,
|
| 847 |
+
"grad_norm": 10.213756561279297,
|
| 848 |
+
"learning_rate": 0.0001969326635940159,
|
| 849 |
+
"loss": 0.8107,
|
| 850 |
+
"step": 119
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.023531718795960388,
|
| 854 |
+
"grad_norm": 5.251387119293213,
|
| 855 |
+
"learning_rate": 0.00019687642020215775,
|
| 856 |
+
"loss": 1.5542,
|
| 857 |
+
"step": 120
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.023727816452593392,
|
| 861 |
+
"grad_norm": 6.100740432739258,
|
| 862 |
+
"learning_rate": 0.00019681967401743297,
|
| 863 |
+
"loss": 1.2512,
|
| 864 |
+
"step": 121
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.023923914109226396,
|
| 868 |
+
"grad_norm": 7.356696128845215,
|
| 869 |
+
"learning_rate": 0.00019676242533435678,
|
| 870 |
+
"loss": 2.4725,
|
| 871 |
+
"step": 122
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.024120011765859397,
|
| 875 |
+
"grad_norm": 11.542431831359863,
|
| 876 |
+
"learning_rate": 0.00019670467445005233,
|
| 877 |
+
"loss": 3.0307,
|
| 878 |
+
"step": 123
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.0243161094224924,
|
| 882 |
+
"grad_norm": 12.166086196899414,
|
| 883 |
+
"learning_rate": 0.00019664642166424928,
|
| 884 |
+
"loss": 1.2784,
|
| 885 |
+
"step": 124
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.024512207079125405,
|
| 889 |
+
"grad_norm": 5.222433090209961,
|
| 890 |
+
"learning_rate": 0.00019658766727928206,
|
| 891 |
+
"loss": 1.1759,
|
| 892 |
+
"step": 125
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.024708304735758406,
|
| 896 |
+
"grad_norm": 4.77174711227417,
|
| 897 |
+
"learning_rate": 0.00019652841160008858,
|
| 898 |
+
"loss": 1.1041,
|
| 899 |
+
"step": 126
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.02490440239239141,
|
| 903 |
+
"grad_norm": 4.879274368286133,
|
| 904 |
+
"learning_rate": 0.0001964686549342084,
|
| 905 |
+
"loss": 2.6326,
|
| 906 |
+
"step": 127
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.025100500049024414,
|
| 910 |
+
"grad_norm": 14.171689987182617,
|
| 911 |
+
"learning_rate": 0.00019640839759178116,
|
| 912 |
+
"loss": 3.4144,
|
| 913 |
+
"step": 128
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.02529659770565742,
|
| 917 |
+
"grad_norm": 7.598373889923096,
|
| 918 |
+
"learning_rate": 0.00019634763988554522,
|
| 919 |
+
"loss": 2.0596,
|
| 920 |
+
"step": 129
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.02549269536229042,
|
| 924 |
+
"grad_norm": 6.88770866394043,
|
| 925 |
+
"learning_rate": 0.00019628638213083565,
|
| 926 |
+
"loss": 1.4691,
|
| 927 |
+
"step": 130
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.025688793018923423,
|
| 931 |
+
"grad_norm": 7.128096580505371,
|
| 932 |
+
"learning_rate": 0.00019622462464558295,
|
| 933 |
+
"loss": 1.3307,
|
| 934 |
+
"step": 131
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.025884890675556427,
|
| 938 |
+
"grad_norm": 6.430881500244141,
|
| 939 |
+
"learning_rate": 0.00019616236775031113,
|
| 940 |
+
"loss": 0.9491,
|
| 941 |
+
"step": 132
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.02608098833218943,
|
| 945 |
+
"grad_norm": 9.912070274353027,
|
| 946 |
+
"learning_rate": 0.00019609961176813624,
|
| 947 |
+
"loss": 2.5006,
|
| 948 |
+
"step": 133
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.026277085988822432,
|
| 952 |
+
"grad_norm": 8.550467491149902,
|
| 953 |
+
"learning_rate": 0.0001960363570247645,
|
| 954 |
+
"loss": 2.4952,
|
| 955 |
+
"step": 134
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.026473183645455436,
|
| 959 |
+
"grad_norm": 4.201476573944092,
|
| 960 |
+
"learning_rate": 0.0001959726038484909,
|
| 961 |
+
"loss": 0.9033,
|
| 962 |
+
"step": 135
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.02666928130208844,
|
| 966 |
+
"grad_norm": 5.774847984313965,
|
| 967 |
+
"learning_rate": 0.00019590835257019714,
|
| 968 |
+
"loss": 2.1291,
|
| 969 |
+
"step": 136
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.026865378958721445,
|
| 973 |
+
"grad_norm": 8.179195404052734,
|
| 974 |
+
"learning_rate": 0.00019584360352335023,
|
| 975 |
+
"loss": 2.7527,
|
| 976 |
+
"step": 137
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.027061476615354445,
|
| 980 |
+
"grad_norm": 15.658841133117676,
|
| 981 |
+
"learning_rate": 0.0001957783570440005,
|
| 982 |
+
"loss": 1.8304,
|
| 983 |
+
"step": 138
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.02725757427198745,
|
| 987 |
+
"grad_norm": 5.7399163246154785,
|
| 988 |
+
"learning_rate": 0.0001957126134707801,
|
| 989 |
+
"loss": 1.7071,
|
| 990 |
+
"step": 139
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.027453671928620454,
|
| 994 |
+
"grad_norm": 5.0817389488220215,
|
| 995 |
+
"learning_rate": 0.00019564637314490108,
|
| 996 |
+
"loss": 1.8933,
|
| 997 |
+
"step": 140
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.027649769585253458,
|
| 1001 |
+
"grad_norm": 5.634946346282959,
|
| 1002 |
+
"learning_rate": 0.0001955796364101535,
|
| 1003 |
+
"loss": 1.7343,
|
| 1004 |
+
"step": 141
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.02784586724188646,
|
| 1008 |
+
"grad_norm": 6.406938552856445,
|
| 1009 |
+
"learning_rate": 0.00019551240361290407,
|
| 1010 |
+
"loss": 2.3013,
|
| 1011 |
+
"step": 142
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.028041964898519463,
|
| 1015 |
+
"grad_norm": 8.239458084106445,
|
| 1016 |
+
"learning_rate": 0.00019544467510209388,
|
| 1017 |
+
"loss": 1.2177,
|
| 1018 |
+
"step": 143
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.028238062555152467,
|
| 1022 |
+
"grad_norm": 11.887965202331543,
|
| 1023 |
+
"learning_rate": 0.0001953764512292369,
|
| 1024 |
+
"loss": 2.4312,
|
| 1025 |
+
"step": 144
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.028434160211785468,
|
| 1029 |
+
"grad_norm": 7.482359409332275,
|
| 1030 |
+
"learning_rate": 0.00019530773234841803,
|
| 1031 |
+
"loss": 1.1083,
|
| 1032 |
+
"step": 145
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.028630257868418472,
|
| 1036 |
+
"grad_norm": 8.86729621887207,
|
| 1037 |
+
"learning_rate": 0.00019523851881629126,
|
| 1038 |
+
"loss": 1.6451,
|
| 1039 |
+
"step": 146
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.028826355525051476,
|
| 1043 |
+
"grad_norm": 7.395509719848633,
|
| 1044 |
+
"learning_rate": 0.0001951688109920778,
|
| 1045 |
+
"loss": 1.31,
|
| 1046 |
+
"step": 147
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.02902245318168448,
|
| 1050 |
+
"grad_norm": 4.955163955688477,
|
| 1051 |
+
"learning_rate": 0.00019509860923756442,
|
| 1052 |
+
"loss": 2.5206,
|
| 1053 |
+
"step": 148
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.02921855083831748,
|
| 1057 |
+
"grad_norm": 5.034746170043945,
|
| 1058 |
+
"learning_rate": 0.00019502791391710125,
|
| 1059 |
+
"loss": 0.9336,
|
| 1060 |
+
"step": 149
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.029414648494950485,
|
| 1064 |
+
"grad_norm": 12.375234603881836,
|
| 1065 |
+
"learning_rate": 0.00019495672539760007,
|
| 1066 |
+
"loss": 2.1276,
|
| 1067 |
+
"step": 150
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.02961074615158349,
|
| 1071 |
+
"grad_norm": 5.832932949066162,
|
| 1072 |
+
"learning_rate": 0.00019488504404853248,
|
| 1073 |
+
"loss": 1.3252,
|
| 1074 |
+
"step": 151
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.029806843808216493,
|
| 1078 |
+
"grad_norm": 5.934417724609375,
|
| 1079 |
+
"learning_rate": 0.00019481287024192775,
|
| 1080 |
+
"loss": 1.5907,
|
| 1081 |
+
"step": 152
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.030002941464849494,
|
| 1085 |
+
"grad_norm": 9.238896369934082,
|
| 1086 |
+
"learning_rate": 0.00019474020435237117,
|
| 1087 |
+
"loss": 1.1184,
|
| 1088 |
+
"step": 153
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.030199039121482498,
|
| 1092 |
+
"grad_norm": 9.787931442260742,
|
| 1093 |
+
"learning_rate": 0.00019466704675700185,
|
| 1094 |
+
"loss": 1.4931,
|
| 1095 |
+
"step": 154
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.030395136778115502,
|
| 1099 |
+
"grad_norm": 7.260796070098877,
|
| 1100 |
+
"learning_rate": 0.00019459339783551094,
|
| 1101 |
+
"loss": 0.8924,
|
| 1102 |
+
"step": 155
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.030591234434748506,
|
| 1106 |
+
"grad_norm": 8.712836265563965,
|
| 1107 |
+
"learning_rate": 0.00019451925797013954,
|
| 1108 |
+
"loss": 1.586,
|
| 1109 |
+
"step": 156
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.030787332091381507,
|
| 1113 |
+
"grad_norm": 11.15104866027832,
|
| 1114 |
+
"learning_rate": 0.00019444462754567682,
|
| 1115 |
+
"loss": 1.5007,
|
| 1116 |
+
"step": 157
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.03098342974801451,
|
| 1120 |
+
"grad_norm": 7.158255100250244,
|
| 1121 |
+
"learning_rate": 0.00019436950694945798,
|
| 1122 |
+
"loss": 2.4118,
|
| 1123 |
+
"step": 158
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.031179527404647515,
|
| 1127 |
+
"grad_norm": 11.58385944366455,
|
| 1128 |
+
"learning_rate": 0.00019429389657136213,
|
| 1129 |
+
"loss": 2.1638,
|
| 1130 |
+
"step": 159
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.03137562506128052,
|
| 1134 |
+
"grad_norm": 7.469117641448975,
|
| 1135 |
+
"learning_rate": 0.00019421779680381054,
|
| 1136 |
+
"loss": 3.0682,
|
| 1137 |
+
"step": 160
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.031571722717913524,
|
| 1141 |
+
"grad_norm": 10.78966999053955,
|
| 1142 |
+
"learning_rate": 0.00019414120804176426,
|
| 1143 |
+
"loss": 1.1822,
|
| 1144 |
+
"step": 161
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.03176782037454652,
|
| 1148 |
+
"grad_norm": 9.68694019317627,
|
| 1149 |
+
"learning_rate": 0.00019406413068272238,
|
| 1150 |
+
"loss": 2.5351,
|
| 1151 |
+
"step": 162
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.031963918031179525,
|
| 1155 |
+
"grad_norm": 11.67428970336914,
|
| 1156 |
+
"learning_rate": 0.00019398656512671972,
|
| 1157 |
+
"loss": 1.9244,
|
| 1158 |
+
"step": 163
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.03216001568781253,
|
| 1162 |
+
"grad_norm": 12.72513198852539,
|
| 1163 |
+
"learning_rate": 0.00019390851177632497,
|
| 1164 |
+
"loss": 3.2138,
|
| 1165 |
+
"step": 164
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.03235611334444553,
|
| 1169 |
+
"grad_norm": 8.345921516418457,
|
| 1170 |
+
"learning_rate": 0.00019382997103663838,
|
| 1171 |
+
"loss": 2.6435,
|
| 1172 |
+
"step": 165
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.03255221100107854,
|
| 1176 |
+
"grad_norm": 7.740304470062256,
|
| 1177 |
+
"learning_rate": 0.0001937509433152899,
|
| 1178 |
+
"loss": 0.8189,
|
| 1179 |
+
"step": 166
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.03274830865771154,
|
| 1183 |
+
"grad_norm": 9.329862594604492,
|
| 1184 |
+
"learning_rate": 0.0001936714290224368,
|
| 1185 |
+
"loss": 1.4106,
|
| 1186 |
+
"step": 167
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.032944406314344546,
|
| 1190 |
+
"grad_norm": 7.179844379425049,
|
| 1191 |
+
"learning_rate": 0.00019359142857076176,
|
| 1192 |
+
"loss": 1.8125,
|
| 1193 |
+
"step": 168
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.03314050397097755,
|
| 1197 |
+
"grad_norm": 7.835447311401367,
|
| 1198 |
+
"learning_rate": 0.00019351094237547066,
|
| 1199 |
+
"loss": 1.6617,
|
| 1200 |
+
"step": 169
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.03333660162761055,
|
| 1204 |
+
"grad_norm": 6.018518924713135,
|
| 1205 |
+
"learning_rate": 0.0001934299708542904,
|
| 1206 |
+
"loss": 2.4333,
|
| 1207 |
+
"step": 170
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.03353269928424355,
|
| 1211 |
+
"grad_norm": 8.176468849182129,
|
| 1212 |
+
"learning_rate": 0.00019334851442746664,
|
| 1213 |
+
"loss": 2.5915,
|
| 1214 |
+
"step": 171
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.033728796940876556,
|
| 1218 |
+
"grad_norm": 8.241739273071289,
|
| 1219 |
+
"learning_rate": 0.00019326657351776186,
|
| 1220 |
+
"loss": 1.666,
|
| 1221 |
+
"step": 172
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.03392489459750956,
|
| 1225 |
+
"grad_norm": 8.064835548400879,
|
| 1226 |
+
"learning_rate": 0.000193184148550453,
|
| 1227 |
+
"loss": 1.477,
|
| 1228 |
+
"step": 173
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.034120992254142564,
|
| 1232 |
+
"grad_norm": 5.790217399597168,
|
| 1233 |
+
"learning_rate": 0.00019310123995332917,
|
| 1234 |
+
"loss": 0.7703,
|
| 1235 |
+
"step": 174
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.03431708991077557,
|
| 1239 |
+
"grad_norm": 9.38430118560791,
|
| 1240 |
+
"learning_rate": 0.00019301784815668974,
|
| 1241 |
+
"loss": 1.5785,
|
| 1242 |
+
"step": 175
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.03451318756740857,
|
| 1246 |
+
"grad_norm": 8.252826690673828,
|
| 1247 |
+
"learning_rate": 0.00019293397359334167,
|
| 1248 |
+
"loss": 2.1462,
|
| 1249 |
+
"step": 176
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.03470928522404157,
|
| 1253 |
+
"grad_norm": 12.65652847290039,
|
| 1254 |
+
"learning_rate": 0.00019284961669859766,
|
| 1255 |
+
"loss": 1.3009,
|
| 1256 |
+
"step": 177
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.034905382880674574,
|
| 1260 |
+
"grad_norm": 6.8490753173828125,
|
| 1261 |
+
"learning_rate": 0.00019276477791027374,
|
| 1262 |
+
"loss": 2.4905,
|
| 1263 |
+
"step": 178
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.03510148053730758,
|
| 1267 |
+
"grad_norm": 4.2581048011779785,
|
| 1268 |
+
"learning_rate": 0.0001926794576686869,
|
| 1269 |
+
"loss": 0.9042,
|
| 1270 |
+
"step": 179
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.03529757819394058,
|
| 1274 |
+
"grad_norm": 6.415445327758789,
|
| 1275 |
+
"learning_rate": 0.0001925936564166529,
|
| 1276 |
+
"loss": 2.238,
|
| 1277 |
+
"step": 180
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.035493675850573586,
|
| 1281 |
+
"grad_norm": 13.620756149291992,
|
| 1282 |
+
"learning_rate": 0.00019250737459948405,
|
| 1283 |
+
"loss": 1.5966,
|
| 1284 |
+
"step": 181
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.03568977350720659,
|
| 1288 |
+
"grad_norm": 10.609662055969238,
|
| 1289 |
+
"learning_rate": 0.00019242061266498675,
|
| 1290 |
+
"loss": 1.081,
|
| 1291 |
+
"step": 182
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.035885871163839594,
|
| 1295 |
+
"grad_norm": 8.404073715209961,
|
| 1296 |
+
"learning_rate": 0.00019233337106345925,
|
| 1297 |
+
"loss": 1.849,
|
| 1298 |
+
"step": 183
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.0360819688204726,
|
| 1302 |
+
"grad_norm": 5.560455322265625,
|
| 1303 |
+
"learning_rate": 0.00019224565024768926,
|
| 1304 |
+
"loss": 1.4533,
|
| 1305 |
+
"step": 184
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.036278066477105596,
|
| 1309 |
+
"grad_norm": 7.896220684051514,
|
| 1310 |
+
"learning_rate": 0.00019215745067295169,
|
| 1311 |
+
"loss": 2.482,
|
| 1312 |
+
"step": 185
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.0364741641337386,
|
| 1316 |
+
"grad_norm": 9.554024696350098,
|
| 1317 |
+
"learning_rate": 0.00019206877279700612,
|
| 1318 |
+
"loss": 1.9367,
|
| 1319 |
+
"step": 186
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.036670261790371604,
|
| 1323 |
+
"grad_norm": 3.333113193511963,
|
| 1324 |
+
"learning_rate": 0.00019197961708009473,
|
| 1325 |
+
"loss": 1.1477,
|
| 1326 |
+
"step": 187
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.03686635944700461,
|
| 1330 |
+
"grad_norm": 9.468240737915039,
|
| 1331 |
+
"learning_rate": 0.00019188998398493953,
|
| 1332 |
+
"loss": 1.0849,
|
| 1333 |
+
"step": 188
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.03706245710363761,
|
| 1337 |
+
"grad_norm": 10.807921409606934,
|
| 1338 |
+
"learning_rate": 0.00019179987397674022,
|
| 1339 |
+
"loss": 2.0192,
|
| 1340 |
+
"step": 189
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.03725855476027062,
|
| 1344 |
+
"grad_norm": 7.14724588394165,
|
| 1345 |
+
"learning_rate": 0.0001917092875231717,
|
| 1346 |
+
"loss": 2.1502,
|
| 1347 |
+
"step": 190
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.03745465241690362,
|
| 1351 |
+
"grad_norm": 12.262707710266113,
|
| 1352 |
+
"learning_rate": 0.00019161822509438162,
|
| 1353 |
+
"loss": 2.423,
|
| 1354 |
+
"step": 191
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.03765075007353662,
|
| 1358 |
+
"grad_norm": 35.0489387512207,
|
| 1359 |
+
"learning_rate": 0.000191526687162988,
|
| 1360 |
+
"loss": 2.5959,
|
| 1361 |
+
"step": 192
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.03784684773016962,
|
| 1365 |
+
"grad_norm": 6.615735054016113,
|
| 1366 |
+
"learning_rate": 0.0001914346742040767,
|
| 1367 |
+
"loss": 1.7733,
|
| 1368 |
+
"step": 193
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.038042945386802626,
|
| 1372 |
+
"grad_norm": 4.537426471710205,
|
| 1373 |
+
"learning_rate": 0.00019134218669519896,
|
| 1374 |
+
"loss": 1.0028,
|
| 1375 |
+
"step": 194
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.03823904304343563,
|
| 1379 |
+
"grad_norm": 5.247801303863525,
|
| 1380 |
+
"learning_rate": 0.00019124922511636912,
|
| 1381 |
+
"loss": 0.8412,
|
| 1382 |
+
"step": 195
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.038435140700068635,
|
| 1386 |
+
"grad_norm": 6.2183918952941895,
|
| 1387 |
+
"learning_rate": 0.00019115578995006173,
|
| 1388 |
+
"loss": 1.7212,
|
| 1389 |
+
"step": 196
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.03863123835670164,
|
| 1393 |
+
"grad_norm": 9.330825805664062,
|
| 1394 |
+
"learning_rate": 0.00019106188168120948,
|
| 1395 |
+
"loss": 1.5341,
|
| 1396 |
+
"step": 197
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.03882733601333464,
|
| 1400 |
+
"grad_norm": 9.86260986328125,
|
| 1401 |
+
"learning_rate": 0.00019096750079720037,
|
| 1402 |
+
"loss": 2.765,
|
| 1403 |
+
"step": 198
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.03902343366996765,
|
| 1407 |
+
"grad_norm": 10.341052055358887,
|
| 1408 |
+
"learning_rate": 0.00019087264778787534,
|
| 1409 |
+
"loss": 1.9024,
|
| 1410 |
+
"step": 199
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.039219531326600644,
|
| 1414 |
+
"grad_norm": 9.549159049987793,
|
| 1415 |
+
"learning_rate": 0.00019077732314552566,
|
| 1416 |
+
"loss": 1.2644,
|
| 1417 |
+
"step": 200
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.03941562898323365,
|
| 1421 |
+
"grad_norm": 5.25094747543335,
|
| 1422 |
+
"learning_rate": 0.00019068152736489036,
|
| 1423 |
+
"loss": 1.334,
|
| 1424 |
+
"step": 201
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.03961172663986665,
|
| 1428 |
+
"grad_norm": 7.197662830352783,
|
| 1429 |
+
"learning_rate": 0.00019058526094315378,
|
| 1430 |
+
"loss": 1.9093,
|
| 1431 |
+
"step": 202
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.03980782429649966,
|
| 1435 |
+
"grad_norm": 8.476766586303711,
|
| 1436 |
+
"learning_rate": 0.0001904885243799429,
|
| 1437 |
+
"loss": 1.477,
|
| 1438 |
+
"step": 203
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.04000392195313266,
|
| 1442 |
+
"grad_norm": 8.232537269592285,
|
| 1443 |
+
"learning_rate": 0.00019039131817732462,
|
| 1444 |
+
"loss": 1.4013,
|
| 1445 |
+
"step": 204
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.040200019609765665,
|
| 1449 |
+
"grad_norm": 15.687997817993164,
|
| 1450 |
+
"learning_rate": 0.0001902936428398035,
|
| 1451 |
+
"loss": 1.6772,
|
| 1452 |
+
"step": 205
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.04039611726639867,
|
| 1456 |
+
"grad_norm": 7.573246479034424,
|
| 1457 |
+
"learning_rate": 0.00019019549887431877,
|
| 1458 |
+
"loss": 1.5007,
|
| 1459 |
+
"step": 206
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.040592214923031666,
|
| 1463 |
+
"grad_norm": 11.531679153442383,
|
| 1464 |
+
"learning_rate": 0.0001900968867902419,
|
| 1465 |
+
"loss": 2.6798,
|
| 1466 |
+
"step": 207
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.04078831257966467,
|
| 1470 |
+
"grad_norm": 6.225399494171143,
|
| 1471 |
+
"learning_rate": 0.00018999780709937398,
|
| 1472 |
+
"loss": 1.3078,
|
| 1473 |
+
"step": 208
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.040984410236297675,
|
| 1477 |
+
"grad_norm": 10.358306884765625,
|
| 1478 |
+
"learning_rate": 0.0001898982603159429,
|
| 1479 |
+
"loss": 1.7353,
|
| 1480 |
+
"step": 209
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.04118050789293068,
|
| 1484 |
+
"grad_norm": 8.146821975708008,
|
| 1485 |
+
"learning_rate": 0.00018979824695660087,
|
| 1486 |
+
"loss": 1.415,
|
| 1487 |
+
"step": 210
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.04137660554956368,
|
| 1491 |
+
"grad_norm": 4.390834808349609,
|
| 1492 |
+
"learning_rate": 0.00018969776754042156,
|
| 1493 |
+
"loss": 1.7612,
|
| 1494 |
+
"step": 211
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.04157270320619669,
|
| 1498 |
+
"grad_norm": 7.958174228668213,
|
| 1499 |
+
"learning_rate": 0.0001895968225888976,
|
| 1500 |
+
"loss": 2.6614,
|
| 1501 |
+
"step": 212
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.04176880086282969,
|
| 1505 |
+
"grad_norm": 9.981225967407227,
|
| 1506 |
+
"learning_rate": 0.00018949541262593762,
|
| 1507 |
+
"loss": 2.0158,
|
| 1508 |
+
"step": 213
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.041964898519462696,
|
| 1512 |
+
"grad_norm": 4.456605911254883,
|
| 1513 |
+
"learning_rate": 0.00018939353817786387,
|
| 1514 |
+
"loss": 1.0621,
|
| 1515 |
+
"step": 214
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.04216099617609569,
|
| 1519 |
+
"grad_norm": 7.546274662017822,
|
| 1520 |
+
"learning_rate": 0.00018929119977340917,
|
| 1521 |
+
"loss": 1.7333,
|
| 1522 |
+
"step": 215
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.0423570938327287,
|
| 1526 |
+
"grad_norm": 11.629569053649902,
|
| 1527 |
+
"learning_rate": 0.0001891883979437143,
|
| 1528 |
+
"loss": 1.4268,
|
| 1529 |
+
"step": 216
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.0425531914893617,
|
| 1533 |
+
"grad_norm": 17.710948944091797,
|
| 1534 |
+
"learning_rate": 0.00018908513322232528,
|
| 1535 |
+
"loss": 2.8701,
|
| 1536 |
+
"step": 217
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.042749289145994705,
|
| 1540 |
+
"grad_norm": 6.267049789428711,
|
| 1541 |
+
"learning_rate": 0.00018898140614519054,
|
| 1542 |
+
"loss": 1.6313,
|
| 1543 |
+
"step": 218
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.04294538680262771,
|
| 1547 |
+
"grad_norm": 4.971591949462891,
|
| 1548 |
+
"learning_rate": 0.00018887721725065814,
|
| 1549 |
+
"loss": 2.0962,
|
| 1550 |
+
"step": 219
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.043141484459260714,
|
| 1554 |
+
"grad_norm": 5.603585243225098,
|
| 1555 |
+
"learning_rate": 0.00018877256707947306,
|
| 1556 |
+
"loss": 0.6683,
|
| 1557 |
+
"step": 220
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.04333758211589372,
|
| 1561 |
+
"grad_norm": 6.029137134552002,
|
| 1562 |
+
"learning_rate": 0.00018866745617477423,
|
| 1563 |
+
"loss": 1.5375,
|
| 1564 |
+
"step": 221
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.043533679772526715,
|
| 1568 |
+
"grad_norm": 7.4105143547058105,
|
| 1569 |
+
"learning_rate": 0.00018856188508209183,
|
| 1570 |
+
"loss": 1.9524,
|
| 1571 |
+
"step": 222
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.04372977742915972,
|
| 1575 |
+
"grad_norm": 8.321500778198242,
|
| 1576 |
+
"learning_rate": 0.00018845585434934452,
|
| 1577 |
+
"loss": 2.1109,
|
| 1578 |
+
"step": 223
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.04392587508579272,
|
| 1582 |
+
"grad_norm": 9.238992691040039,
|
| 1583 |
+
"learning_rate": 0.00018834936452683638,
|
| 1584 |
+
"loss": 1.4247,
|
| 1585 |
+
"step": 224
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.04412197274242573,
|
| 1589 |
+
"grad_norm": 5.125700950622559,
|
| 1590 |
+
"learning_rate": 0.00018824241616725434,
|
| 1591 |
+
"loss": 1.1266,
|
| 1592 |
+
"step": 225
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.04431807039905873,
|
| 1596 |
+
"grad_norm": 7.538069725036621,
|
| 1597 |
+
"learning_rate": 0.000188135009825665,
|
| 1598 |
+
"loss": 2.1554,
|
| 1599 |
+
"step": 226
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.044514168055691736,
|
| 1603 |
+
"grad_norm": 8.309137344360352,
|
| 1604 |
+
"learning_rate": 0.00018802714605951199,
|
| 1605 |
+
"loss": 1.1435,
|
| 1606 |
+
"step": 227
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.04471026571232474,
|
| 1610 |
+
"grad_norm": 22.02942657470703,
|
| 1611 |
+
"learning_rate": 0.00018791882542861302,
|
| 1612 |
+
"loss": 1.8154,
|
| 1613 |
+
"step": 228
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.044906363368957744,
|
| 1617 |
+
"grad_norm": 7.017299652099609,
|
| 1618 |
+
"learning_rate": 0.0001878100484951569,
|
| 1619 |
+
"loss": 1.4998,
|
| 1620 |
+
"step": 229
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.04510246102559074,
|
| 1624 |
+
"grad_norm": 18.39406394958496,
|
| 1625 |
+
"learning_rate": 0.00018770081582370068,
|
| 1626 |
+
"loss": 2.1662,
|
| 1627 |
+
"step": 230
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.045298558682223745,
|
| 1631 |
+
"grad_norm": 9.11802864074707,
|
| 1632 |
+
"learning_rate": 0.0001875911279811667,
|
| 1633 |
+
"loss": 0.7446,
|
| 1634 |
+
"step": 231
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.04549465633885675,
|
| 1638 |
+
"grad_norm": 7.193735122680664,
|
| 1639 |
+
"learning_rate": 0.00018748098553683968,
|
| 1640 |
+
"loss": 1.9472,
|
| 1641 |
+
"step": 232
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.045690753995489754,
|
| 1645 |
+
"grad_norm": 23.407245635986328,
|
| 1646 |
+
"learning_rate": 0.0001873703890623637,
|
| 1647 |
+
"loss": 2.1782,
|
| 1648 |
+
"step": 233
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.04588685165212276,
|
| 1652 |
+
"grad_norm": 6.547053813934326,
|
| 1653 |
+
"learning_rate": 0.00018725933913173938,
|
| 1654 |
+
"loss": 1.9687,
|
| 1655 |
+
"step": 234
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.04608294930875576,
|
| 1659 |
+
"grad_norm": 10.576699256896973,
|
| 1660 |
+
"learning_rate": 0.00018714783632132068,
|
| 1661 |
+
"loss": 1.8832,
|
| 1662 |
+
"step": 235
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.046279046965388766,
|
| 1666 |
+
"grad_norm": 5.852027416229248,
|
| 1667 |
+
"learning_rate": 0.00018703588120981207,
|
| 1668 |
+
"loss": 1.8932,
|
| 1669 |
+
"step": 236
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.04647514462202176,
|
| 1673 |
+
"grad_norm": 7.023755073547363,
|
| 1674 |
+
"learning_rate": 0.00018692347437826548,
|
| 1675 |
+
"loss": 3.7953,
|
| 1676 |
+
"step": 237
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.04667124227865477,
|
| 1680 |
+
"grad_norm": 13.61612606048584,
|
| 1681 |
+
"learning_rate": 0.00018681061641007737,
|
| 1682 |
+
"loss": 1.9077,
|
| 1683 |
+
"step": 238
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.04686733993528777,
|
| 1687 |
+
"grad_norm": 5.3344526290893555,
|
| 1688 |
+
"learning_rate": 0.0001866973078909854,
|
| 1689 |
+
"loss": 1.4342,
|
| 1690 |
+
"step": 239
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.047063437591920776,
|
| 1694 |
+
"grad_norm": 38.80408477783203,
|
| 1695 |
+
"learning_rate": 0.00018658354940906586,
|
| 1696 |
+
"loss": 2.3665,
|
| 1697 |
+
"step": 240
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.04725953524855378,
|
| 1701 |
+
"grad_norm": 9.670344352722168,
|
| 1702 |
+
"learning_rate": 0.00018646934155473022,
|
| 1703 |
+
"loss": 0.9006,
|
| 1704 |
+
"step": 241
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.047455632905186784,
|
| 1708 |
+
"grad_norm": 5.1102495193481445,
|
| 1709 |
+
"learning_rate": 0.00018635468492072228,
|
| 1710 |
+
"loss": 1.2289,
|
| 1711 |
+
"step": 242
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.04765173056181979,
|
| 1715 |
+
"grad_norm": 9.1209077835083,
|
| 1716 |
+
"learning_rate": 0.00018623958010211493,
|
| 1717 |
+
"loss": 1.6009,
|
| 1718 |
+
"step": 243
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.04784782821845279,
|
| 1722 |
+
"grad_norm": 16.793027877807617,
|
| 1723 |
+
"learning_rate": 0.0001861240276963073,
|
| 1724 |
+
"loss": 0.94,
|
| 1725 |
+
"step": 244
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.04804392587508579,
|
| 1729 |
+
"grad_norm": 6.90054988861084,
|
| 1730 |
+
"learning_rate": 0.00018600802830302134,
|
| 1731 |
+
"loss": 1.559,
|
| 1732 |
+
"step": 245
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.048240023531718794,
|
| 1736 |
+
"grad_norm": 13.111268043518066,
|
| 1737 |
+
"learning_rate": 0.0001858915825242991,
|
| 1738 |
+
"loss": 2.1186,
|
| 1739 |
+
"step": 246
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.0484361211883518,
|
| 1743 |
+
"grad_norm": 6.356579780578613,
|
| 1744 |
+
"learning_rate": 0.00018577469096449925,
|
| 1745 |
+
"loss": 1.6653,
|
| 1746 |
+
"step": 247
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.0486322188449848,
|
| 1750 |
+
"grad_norm": 9.505541801452637,
|
| 1751 |
+
"learning_rate": 0.00018565735423029404,
|
| 1752 |
+
"loss": 0.9774,
|
| 1753 |
+
"step": 248
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.048828316501617806,
|
| 1757 |
+
"grad_norm": 8.927581787109375,
|
| 1758 |
+
"learning_rate": 0.00018553957293066632,
|
| 1759 |
+
"loss": 2.6455,
|
| 1760 |
+
"step": 249
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.04902441415825081,
|
| 1764 |
+
"grad_norm": 7.568793773651123,
|
| 1765 |
+
"learning_rate": 0.00018542134767690616,
|
| 1766 |
+
"loss": 1.1464,
|
| 1767 |
+
"step": 250
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.049220511814883815,
|
| 1771 |
+
"grad_norm": 7.632232189178467,
|
| 1772 |
+
"learning_rate": 0.00018530267908260784,
|
| 1773 |
+
"loss": 1.2671,
|
| 1774 |
+
"step": 251
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.04941660947151681,
|
| 1778 |
+
"grad_norm": 4.4279561042785645,
|
| 1779 |
+
"learning_rate": 0.00018518356776366657,
|
| 1780 |
+
"loss": 2.0384,
|
| 1781 |
+
"step": 252
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.049612707128149816,
|
| 1785 |
+
"grad_norm": 10.818602561950684,
|
| 1786 |
+
"learning_rate": 0.00018506401433827528,
|
| 1787 |
+
"loss": 1.0559,
|
| 1788 |
+
"step": 253
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.04980880478478282,
|
| 1792 |
+
"grad_norm": 5.57148551940918,
|
| 1793 |
+
"learning_rate": 0.00018494401942692153,
|
| 1794 |
+
"loss": 0.9603,
|
| 1795 |
+
"step": 254
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.050004902441415824,
|
| 1799 |
+
"grad_norm": 11.1985502243042,
|
| 1800 |
+
"learning_rate": 0.00018482358365238413,
|
| 1801 |
+
"loss": 2.4928,
|
| 1802 |
+
"step": 255
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.05020100009804883,
|
| 1806 |
+
"grad_norm": 4.890799522399902,
|
| 1807 |
+
"learning_rate": 0.00018470270763973004,
|
| 1808 |
+
"loss": 1.4034,
|
| 1809 |
+
"step": 256
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.05039709775468183,
|
| 1813 |
+
"grad_norm": 6.2078680992126465,
|
| 1814 |
+
"learning_rate": 0.00018458139201631108,
|
| 1815 |
+
"loss": 1.782,
|
| 1816 |
+
"step": 257
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.05059319541131484,
|
| 1820 |
+
"grad_norm": 24.89278221130371,
|
| 1821 |
+
"learning_rate": 0.00018445963741176065,
|
| 1822 |
+
"loss": 3.7879,
|
| 1823 |
+
"step": 258
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.05078929306794784,
|
| 1827 |
+
"grad_norm": 5.363570213317871,
|
| 1828 |
+
"learning_rate": 0.00018433744445799045,
|
| 1829 |
+
"loss": 1.4292,
|
| 1830 |
+
"step": 259
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.05098539072458084,
|
| 1834 |
+
"grad_norm": 7.669764041900635,
|
| 1835 |
+
"learning_rate": 0.0001842148137891873,
|
| 1836 |
+
"loss": 2.0483,
|
| 1837 |
+
"step": 260
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.05118148838121384,
|
| 1841 |
+
"grad_norm": 5.229150295257568,
|
| 1842 |
+
"learning_rate": 0.00018409174604180976,
|
| 1843 |
+
"loss": 3.2863,
|
| 1844 |
+
"step": 261
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.05137758603784685,
|
| 1848 |
+
"grad_norm": 5.850373268127441,
|
| 1849 |
+
"learning_rate": 0.0001839682418545848,
|
| 1850 |
+
"loss": 1.8197,
|
| 1851 |
+
"step": 262
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.05157368369447985,
|
| 1855 |
+
"grad_norm": 7.138283729553223,
|
| 1856 |
+
"learning_rate": 0.00018384430186850454,
|
| 1857 |
+
"loss": 2.7101,
|
| 1858 |
+
"step": 263
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.051769781351112855,
|
| 1862 |
+
"grad_norm": 10.918169975280762,
|
| 1863 |
+
"learning_rate": 0.000183719926726823,
|
| 1864 |
+
"loss": 1.8243,
|
| 1865 |
+
"step": 264
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.05196587900774586,
|
| 1869 |
+
"grad_norm": 9.205517768859863,
|
| 1870 |
+
"learning_rate": 0.00018359511707505258,
|
| 1871 |
+
"loss": 1.4992,
|
| 1872 |
+
"step": 265
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.05216197666437886,
|
| 1876 |
+
"grad_norm": 8.567139625549316,
|
| 1877 |
+
"learning_rate": 0.00018346987356096086,
|
| 1878 |
+
"loss": 1.051,
|
| 1879 |
+
"step": 266
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.05235807432101187,
|
| 1883 |
+
"grad_norm": 10.313075065612793,
|
| 1884 |
+
"learning_rate": 0.00018334419683456717,
|
| 1885 |
+
"loss": 2.6062,
|
| 1886 |
+
"step": 267
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.052554171977644865,
|
| 1890 |
+
"grad_norm": 7.515801906585693,
|
| 1891 |
+
"learning_rate": 0.0001832180875481392,
|
| 1892 |
+
"loss": 1.266,
|
| 1893 |
+
"step": 268
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.05275026963427787,
|
| 1897 |
+
"grad_norm": 5.345809459686279,
|
| 1898 |
+
"learning_rate": 0.00018309154635618965,
|
| 1899 |
+
"loss": 1.2526,
|
| 1900 |
+
"step": 269
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.05294636729091087,
|
| 1904 |
+
"grad_norm": 13.568882942199707,
|
| 1905 |
+
"learning_rate": 0.00018296457391547296,
|
| 1906 |
+
"loss": 2.5183,
|
| 1907 |
+
"step": 270
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.05314246494754388,
|
| 1911 |
+
"grad_norm": 10.022235870361328,
|
| 1912 |
+
"learning_rate": 0.00018283717088498155,
|
| 1913 |
+
"loss": 2.2774,
|
| 1914 |
+
"step": 271
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.05333856260417688,
|
| 1918 |
+
"grad_norm": 6.537176132202148,
|
| 1919 |
+
"learning_rate": 0.0001827093379259428,
|
| 1920 |
+
"loss": 1.4989,
|
| 1921 |
+
"step": 272
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.053534660260809885,
|
| 1925 |
+
"grad_norm": 17.213987350463867,
|
| 1926 |
+
"learning_rate": 0.00018258107570181533,
|
| 1927 |
+
"loss": 2.4885,
|
| 1928 |
+
"step": 273
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.05373075791744289,
|
| 1932 |
+
"grad_norm": 6.48647403717041,
|
| 1933 |
+
"learning_rate": 0.00018245238487828573,
|
| 1934 |
+
"loss": 1.2309,
|
| 1935 |
+
"step": 274
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.05392685557407589,
|
| 1939 |
+
"grad_norm": 5.479822158813477,
|
| 1940 |
+
"learning_rate": 0.000182323266123265,
|
| 1941 |
+
"loss": 1.8959,
|
| 1942 |
+
"step": 275
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.05412295323070889,
|
| 1946 |
+
"grad_norm": 7.716124534606934,
|
| 1947 |
+
"learning_rate": 0.00018219372010688515,
|
| 1948 |
+
"loss": 1.8321,
|
| 1949 |
+
"step": 276
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.054319050887341895,
|
| 1953 |
+
"grad_norm": 9.968965530395508,
|
| 1954 |
+
"learning_rate": 0.00018206374750149567,
|
| 1955 |
+
"loss": 4.1652,
|
| 1956 |
+
"step": 277
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.0545151485439749,
|
| 1960 |
+
"grad_norm": 6.009235382080078,
|
| 1961 |
+
"learning_rate": 0.00018193334898166007,
|
| 1962 |
+
"loss": 0.8178,
|
| 1963 |
+
"step": 278
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.0547112462006079,
|
| 1967 |
+
"grad_norm": 8.031886100769043,
|
| 1968 |
+
"learning_rate": 0.00018180252522415242,
|
| 1969 |
+
"loss": 1.783,
|
| 1970 |
+
"step": 279
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.05490734385724091,
|
| 1974 |
+
"grad_norm": 5.5589680671691895,
|
| 1975 |
+
"learning_rate": 0.00018167127690795368,
|
| 1976 |
+
"loss": 1.3049,
|
| 1977 |
+
"step": 280
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.05510344151387391,
|
| 1981 |
+
"grad_norm": 5.04995059967041,
|
| 1982 |
+
"learning_rate": 0.0001815396047142485,
|
| 1983 |
+
"loss": 0.8962,
|
| 1984 |
+
"step": 281
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.055299539170506916,
|
| 1988 |
+
"grad_norm": 5.3526692390441895,
|
| 1989 |
+
"learning_rate": 0.0001814075093264212,
|
| 1990 |
+
"loss": 1.201,
|
| 1991 |
+
"step": 282
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.05549563682713991,
|
| 1995 |
+
"grad_norm": 11.980429649353027,
|
| 1996 |
+
"learning_rate": 0.00018127499143005268,
|
| 1997 |
+
"loss": 0.6955,
|
| 1998 |
+
"step": 283
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.05569173448377292,
|
| 2002 |
+
"grad_norm": 38.28229904174805,
|
| 2003 |
+
"learning_rate": 0.00018114205171291663,
|
| 2004 |
+
"loss": 1.7335,
|
| 2005 |
+
"step": 284
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.05588783214040592,
|
| 2009 |
+
"grad_norm": 6.15138053894043,
|
| 2010 |
+
"learning_rate": 0.000181008690864976,
|
| 2011 |
+
"loss": 1.2766,
|
| 2012 |
+
"step": 285
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.056083929797038926,
|
| 2016 |
+
"grad_norm": 7.846836566925049,
|
| 2017 |
+
"learning_rate": 0.00018087490957837944,
|
| 2018 |
+
"loss": 1.155,
|
| 2019 |
+
"step": 286
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.05628002745367193,
|
| 2023 |
+
"grad_norm": 7.675628185272217,
|
| 2024 |
+
"learning_rate": 0.00018074070854745772,
|
| 2025 |
+
"loss": 1.6129,
|
| 2026 |
+
"step": 287
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.056476125110304934,
|
| 2030 |
+
"grad_norm": 12.245649337768555,
|
| 2031 |
+
"learning_rate": 0.00018060608846872005,
|
| 2032 |
+
"loss": 1.7585,
|
| 2033 |
+
"step": 288
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.05667222276693794,
|
| 2037 |
+
"grad_norm": 10.520101547241211,
|
| 2038 |
+
"learning_rate": 0.00018047105004085053,
|
| 2039 |
+
"loss": 1.9265,
|
| 2040 |
+
"step": 289
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.056868320423570935,
|
| 2044 |
+
"grad_norm": 7.400151252746582,
|
| 2045 |
+
"learning_rate": 0.00018033559396470454,
|
| 2046 |
+
"loss": 1.4189,
|
| 2047 |
+
"step": 290
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.05706441808020394,
|
| 2051 |
+
"grad_norm": 12.058060646057129,
|
| 2052 |
+
"learning_rate": 0.00018019972094330503,
|
| 2053 |
+
"loss": 2.3312,
|
| 2054 |
+
"step": 291
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.057260515736836944,
|
| 2058 |
+
"grad_norm": 5.313794136047363,
|
| 2059 |
+
"learning_rate": 0.00018006343168183893,
|
| 2060 |
+
"loss": 2.0051,
|
| 2061 |
+
"step": 292
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.05745661339346995,
|
| 2065 |
+
"grad_norm": 11.182997703552246,
|
| 2066 |
+
"learning_rate": 0.0001799267268876535,
|
| 2067 |
+
"loss": 1.4779,
|
| 2068 |
+
"step": 293
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.05765271105010295,
|
| 2072 |
+
"grad_norm": 16.24866485595703,
|
| 2073 |
+
"learning_rate": 0.0001797896072702526,
|
| 2074 |
+
"loss": 2.4689,
|
| 2075 |
+
"step": 294
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.057848808706735956,
|
| 2079 |
+
"grad_norm": 7.471411228179932,
|
| 2080 |
+
"learning_rate": 0.00017965207354129307,
|
| 2081 |
+
"loss": 3.0599,
|
| 2082 |
+
"step": 295
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.05804490636336896,
|
| 2086 |
+
"grad_norm": 7.715878486633301,
|
| 2087 |
+
"learning_rate": 0.00017951412641458098,
|
| 2088 |
+
"loss": 0.8256,
|
| 2089 |
+
"step": 296
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.058241004020001964,
|
| 2093 |
+
"grad_norm": 22.084482192993164,
|
| 2094 |
+
"learning_rate": 0.000179375766606068,
|
| 2095 |
+
"loss": 2.457,
|
| 2096 |
+
"step": 297
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.05843710167663496,
|
| 2100 |
+
"grad_norm": 8.041847229003906,
|
| 2101 |
+
"learning_rate": 0.00017923699483384753,
|
| 2102 |
+
"loss": 1.5642,
|
| 2103 |
+
"step": 298
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.058633199333267966,
|
| 2107 |
+
"grad_norm": 12.814888000488281,
|
| 2108 |
+
"learning_rate": 0.00017909781181815117,
|
| 2109 |
+
"loss": 1.5129,
|
| 2110 |
+
"step": 299
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.05882929698990097,
|
| 2114 |
+
"grad_norm": 9.216371536254883,
|
| 2115 |
+
"learning_rate": 0.0001789582182813449,
|
| 2116 |
+
"loss": 2.0632,
|
| 2117 |
+
"step": 300
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.059025394646533974,
|
| 2121 |
+
"grad_norm": 12.80371379852295,
|
| 2122 |
+
"learning_rate": 0.00017881821494792528,
|
| 2123 |
+
"loss": 2.8705,
|
| 2124 |
+
"step": 301
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.05922149230316698,
|
| 2128 |
+
"grad_norm": 7.234943389892578,
|
| 2129 |
+
"learning_rate": 0.00017867780254451576,
|
| 2130 |
+
"loss": 2.6664,
|
| 2131 |
+
"step": 302
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.05941758995979998,
|
| 2135 |
+
"grad_norm": 11.168726921081543,
|
| 2136 |
+
"learning_rate": 0.00017853698179986282,
|
| 2137 |
+
"loss": 1.347,
|
| 2138 |
+
"step": 303
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.059613687616432987,
|
| 2142 |
+
"grad_norm": 19.369266510009766,
|
| 2143 |
+
"learning_rate": 0.00017839575344483238,
|
| 2144 |
+
"loss": 2.68,
|
| 2145 |
+
"step": 304
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.059809785273065984,
|
| 2149 |
+
"grad_norm": 7.1730570793151855,
|
| 2150 |
+
"learning_rate": 0.0001782541182124057,
|
| 2151 |
+
"loss": 2.3908,
|
| 2152 |
+
"step": 305
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.06000588292969899,
|
| 2156 |
+
"grad_norm": 7.243929862976074,
|
| 2157 |
+
"learning_rate": 0.0001781120768376759,
|
| 2158 |
+
"loss": 1.0056,
|
| 2159 |
+
"step": 306
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.06020198058633199,
|
| 2163 |
+
"grad_norm": 7.748988628387451,
|
| 2164 |
+
"learning_rate": 0.00017796963005784394,
|
| 2165 |
+
"loss": 2.1776,
|
| 2166 |
+
"step": 307
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.060398078242964996,
|
| 2170 |
+
"grad_norm": 13.446945190429688,
|
| 2171 |
+
"learning_rate": 0.0001778267786122148,
|
| 2172 |
+
"loss": 2.3275,
|
| 2173 |
+
"step": 308
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.060594175899598,
|
| 2177 |
+
"grad_norm": 10.720627784729004,
|
| 2178 |
+
"learning_rate": 0.0001776835232421938,
|
| 2179 |
+
"loss": 1.046,
|
| 2180 |
+
"step": 309
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.060790273556231005,
|
| 2184 |
+
"grad_norm": 11.274985313415527,
|
| 2185 |
+
"learning_rate": 0.00017753986469128257,
|
| 2186 |
+
"loss": 2.4269,
|
| 2187 |
+
"step": 310
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.06098637121286401,
|
| 2191 |
+
"grad_norm": 8.671335220336914,
|
| 2192 |
+
"learning_rate": 0.00017739580370507532,
|
| 2193 |
+
"loss": 2.1488,
|
| 2194 |
+
"step": 311
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.06118246886949701,
|
| 2198 |
+
"grad_norm": 8.375978469848633,
|
| 2199 |
+
"learning_rate": 0.0001772513410312548,
|
| 2200 |
+
"loss": 1.8458,
|
| 2201 |
+
"step": 312
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.06137856652613001,
|
| 2205 |
+
"grad_norm": 11.178112983703613,
|
| 2206 |
+
"learning_rate": 0.00017710647741958868,
|
| 2207 |
+
"loss": 2.7169,
|
| 2208 |
+
"step": 313
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 0.061574664182763014,
|
| 2212 |
+
"grad_norm": 8.29799747467041,
|
| 2213 |
+
"learning_rate": 0.00017696121362192544,
|
| 2214 |
+
"loss": 1.455,
|
| 2215 |
+
"step": 314
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 0.06177076183939602,
|
| 2219 |
+
"grad_norm": 6.712766647338867,
|
| 2220 |
+
"learning_rate": 0.00017681555039219054,
|
| 2221 |
+
"loss": 1.2604,
|
| 2222 |
+
"step": 315
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 0.06196685949602902,
|
| 2226 |
+
"grad_norm": 7.891608238220215,
|
| 2227 |
+
"learning_rate": 0.00017666948848638257,
|
| 2228 |
+
"loss": 2.1795,
|
| 2229 |
+
"step": 316
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.06216295715266203,
|
| 2233 |
+
"grad_norm": 5.039219379425049,
|
| 2234 |
+
"learning_rate": 0.00017652302866256916,
|
| 2235 |
+
"loss": 0.9069,
|
| 2236 |
+
"step": 317
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 0.06235905480929503,
|
| 2240 |
+
"grad_norm": 9.421103477478027,
|
| 2241 |
+
"learning_rate": 0.00017637617168088325,
|
| 2242 |
+
"loss": 2.4256,
|
| 2243 |
+
"step": 318
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 0.06255515246592804,
|
| 2247 |
+
"grad_norm": 4.435902118682861,
|
| 2248 |
+
"learning_rate": 0.000176228918303519,
|
| 2249 |
+
"loss": 1.9269,
|
| 2250 |
+
"step": 319
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.06275125012256104,
|
| 2254 |
+
"grad_norm": 10.938987731933594,
|
| 2255 |
+
"learning_rate": 0.00017608126929472795,
|
| 2256 |
+
"loss": 1.4649,
|
| 2257 |
+
"step": 320
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 0.06294734777919404,
|
| 2261 |
+
"grad_norm": 6.332970142364502,
|
| 2262 |
+
"learning_rate": 0.00017593322542081485,
|
| 2263 |
+
"loss": 2.0089,
|
| 2264 |
+
"step": 321
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 0.06314344543582705,
|
| 2268 |
+
"grad_norm": 6.731532573699951,
|
| 2269 |
+
"learning_rate": 0.00017578478745013392,
|
| 2270 |
+
"loss": 2.4046,
|
| 2271 |
+
"step": 322
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.06333954309246005,
|
| 2275 |
+
"grad_norm": 8.772012710571289,
|
| 2276 |
+
"learning_rate": 0.00017563595615308474,
|
| 2277 |
+
"loss": 1.4935,
|
| 2278 |
+
"step": 323
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 0.06353564074909304,
|
| 2282 |
+
"grad_norm": 5.693745136260986,
|
| 2283 |
+
"learning_rate": 0.00017548673230210823,
|
| 2284 |
+
"loss": 1.848,
|
| 2285 |
+
"step": 324
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 0.06373173840572605,
|
| 2289 |
+
"grad_norm": 15.056157112121582,
|
| 2290 |
+
"learning_rate": 0.0001753371166716828,
|
| 2291 |
+
"loss": 1.4598,
|
| 2292 |
+
"step": 325
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 0.06392783606235905,
|
| 2296 |
+
"grad_norm": 9.370506286621094,
|
| 2297 |
+
"learning_rate": 0.00017518711003832002,
|
| 2298 |
+
"loss": 1.4809,
|
| 2299 |
+
"step": 326
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 0.06412393371899205,
|
| 2303 |
+
"grad_norm": 19.398839950561523,
|
| 2304 |
+
"learning_rate": 0.000175036713180561,
|
| 2305 |
+
"loss": 1.0093,
|
| 2306 |
+
"step": 327
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 0.06432003137562506,
|
| 2310 |
+
"grad_norm": 4.393742084503174,
|
| 2311 |
+
"learning_rate": 0.00017488592687897193,
|
| 2312 |
+
"loss": 0.817,
|
| 2313 |
+
"step": 328
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.06451612903225806,
|
| 2317 |
+
"grad_norm": 6.7713799476623535,
|
| 2318 |
+
"learning_rate": 0.00017473475191614037,
|
| 2319 |
+
"loss": 2.1701,
|
| 2320 |
+
"step": 329
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 0.06471222668889107,
|
| 2324 |
+
"grad_norm": 5.920267581939697,
|
| 2325 |
+
"learning_rate": 0.00017458318907667098,
|
| 2326 |
+
"loss": 3.3491,
|
| 2327 |
+
"step": 330
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 0.06490832434552407,
|
| 2331 |
+
"grad_norm": 15.095996856689453,
|
| 2332 |
+
"learning_rate": 0.0001744312391471816,
|
| 2333 |
+
"loss": 1.7637,
|
| 2334 |
+
"step": 331
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 0.06510442200215708,
|
| 2338 |
+
"grad_norm": 9.470211029052734,
|
| 2339 |
+
"learning_rate": 0.00017427890291629893,
|
| 2340 |
+
"loss": 2.7744,
|
| 2341 |
+
"step": 332
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 0.06530051965879008,
|
| 2345 |
+
"grad_norm": 9.082067489624023,
|
| 2346 |
+
"learning_rate": 0.00017412618117465477,
|
| 2347 |
+
"loss": 3.1791,
|
| 2348 |
+
"step": 333
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 0.06549661731542308,
|
| 2352 |
+
"grad_norm": 5.174635410308838,
|
| 2353 |
+
"learning_rate": 0.0001739730747148816,
|
| 2354 |
+
"loss": 1.2189,
|
| 2355 |
+
"step": 334
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 0.06569271497205609,
|
| 2359 |
+
"grad_norm": 5.053405284881592,
|
| 2360 |
+
"learning_rate": 0.00017381958433160865,
|
| 2361 |
+
"loss": 1.7119,
|
| 2362 |
+
"step": 335
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 0.06588881262868909,
|
| 2366 |
+
"grad_norm": 5.771046161651611,
|
| 2367 |
+
"learning_rate": 0.0001736657108214578,
|
| 2368 |
+
"loss": 1.4188,
|
| 2369 |
+
"step": 336
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 0.0660849102853221,
|
| 2373 |
+
"grad_norm": 8.400517463684082,
|
| 2374 |
+
"learning_rate": 0.00017351145498303925,
|
| 2375 |
+
"loss": 2.3167,
|
| 2376 |
+
"step": 337
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 0.0662810079419551,
|
| 2380 |
+
"grad_norm": 4.6646728515625,
|
| 2381 |
+
"learning_rate": 0.0001733568176169476,
|
| 2382 |
+
"loss": 1.2102,
|
| 2383 |
+
"step": 338
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
+
"epoch": 0.06647710559858809,
|
| 2387 |
+
"grad_norm": 8.288646697998047,
|
| 2388 |
+
"learning_rate": 0.0001732017995257575,
|
| 2389 |
+
"loss": 2.4803,
|
| 2390 |
+
"step": 339
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 0.0666732032552211,
|
| 2394 |
+
"grad_norm": 10.970074653625488,
|
| 2395 |
+
"learning_rate": 0.00017304640151401967,
|
| 2396 |
+
"loss": 2.5839,
|
| 2397 |
+
"step": 340
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 0.0668693009118541,
|
| 2401 |
+
"grad_norm": 6.0125732421875,
|
| 2402 |
+
"learning_rate": 0.00017289062438825665,
|
| 2403 |
+
"loss": 1.5807,
|
| 2404 |
+
"step": 341
|
| 2405 |
+
},
|
| 2406 |
+
{
|
| 2407 |
+
"epoch": 0.0670653985684871,
|
| 2408 |
+
"grad_norm": 5.844028472900391,
|
| 2409 |
+
"learning_rate": 0.0001727344689569585,
|
| 2410 |
+
"loss": 3.34,
|
| 2411 |
+
"step": 342
|
| 2412 |
+
},
|
| 2413 |
+
{
|
| 2414 |
+
"epoch": 0.06726149622512011,
|
| 2415 |
+
"grad_norm": 7.1026387214660645,
|
| 2416 |
+
"learning_rate": 0.00017257793603057871,
|
| 2417 |
+
"loss": 1.4347,
|
| 2418 |
+
"step": 343
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 0.06745759388175311,
|
| 2422 |
+
"grad_norm": 9.198262214660645,
|
| 2423 |
+
"learning_rate": 0.00017242102642153016,
|
| 2424 |
+
"loss": 1.834,
|
| 2425 |
+
"step": 344
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 0.06765369153838612,
|
| 2429 |
+
"grad_norm": 5.76854133605957,
|
| 2430 |
+
"learning_rate": 0.00017226374094418044,
|
| 2431 |
+
"loss": 0.9294,
|
| 2432 |
+
"step": 345
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 0.06784978919501912,
|
| 2436 |
+
"grad_norm": 10.319186210632324,
|
| 2437 |
+
"learning_rate": 0.0001721060804148482,
|
| 2438 |
+
"loss": 2.0088,
|
| 2439 |
+
"step": 346
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.06804588685165212,
|
| 2443 |
+
"grad_norm": 22.298240661621094,
|
| 2444 |
+
"learning_rate": 0.00017194804565179842,
|
| 2445 |
+
"loss": 2.6901,
|
| 2446 |
+
"step": 347
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 0.06824198450828513,
|
| 2450 |
+
"grad_norm": 11.38401985168457,
|
| 2451 |
+
"learning_rate": 0.00017178963747523847,
|
| 2452 |
+
"loss": 2.6342,
|
| 2453 |
+
"step": 348
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.06824198450828513,
|
| 2457 |
+
"eval_loss": 0.4400941729545593,
|
| 2458 |
+
"eval_runtime": 78.7276,
|
| 2459 |
+
"eval_samples_per_second": 27.284,
|
| 2460 |
+
"eval_steps_per_second": 13.642,
|
| 2461 |
+
"step": 348
|
| 2462 |
+
}
|
| 2463 |
+
],
|
| 2464 |
+
"logging_steps": 1,
|
| 2465 |
+
"max_steps": 1389,
|
| 2466 |
+
"num_input_tokens_seen": 0,
|
| 2467 |
+
"num_train_epochs": 1,
|
| 2468 |
+
"save_steps": 348,
|
| 2469 |
+
"stateful_callbacks": {
|
| 2470 |
+
"TrainerControl": {
|
| 2471 |
+
"args": {
|
| 2472 |
+
"should_epoch_stop": false,
|
| 2473 |
+
"should_evaluate": false,
|
| 2474 |
+
"should_log": false,
|
| 2475 |
+
"should_save": true,
|
| 2476 |
+
"should_training_stop": false
|
| 2477 |
+
},
|
| 2478 |
+
"attributes": {}
|
| 2479 |
+
}
|
| 2480 |
+
},
|
| 2481 |
+
"total_flos": 7.492671941640192e+16,
|
| 2482 |
+
"train_batch_size": 2,
|
| 2483 |
+
"trial_name": null,
|
| 2484 |
+
"trial_params": null
|
| 2485 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a0aa4d67a55c695ed6693a9a4569b45bb7fea420dffdcb0312de61969b074ac
|
| 3 |
+
size 6776
|