step 2600
Browse files- checkpoint-2600/README.md +208 -0
- checkpoint-2600/adapter_config.json +52 -0
- checkpoint-2600/adapter_model.safetensors +3 -0
- checkpoint-2600/optimizer.pt +3 -0
- checkpoint-2600/rng_state_0.pth +3 -0
- checkpoint-2600/rng_state_1.pth +3 -0
- checkpoint-2600/scaler.pt +3 -0
- checkpoint-2600/scheduler.pt +3 -0
- checkpoint-2600/trainer_state.json +1854 -0
- checkpoint-2600/training_args.bin +3 -0
checkpoint-2600/README.md
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/orpheus-3b-0.1-pretrained
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/orpheus-3b-0.1-pretrained
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
- unsloth
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.19.1
|
checkpoint-2600/adapter_config.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "LlamaForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.llama.modeling_llama",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/orpheus-3b-0.1-pretrained",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 64,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 64,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"down_proj",
|
| 38 |
+
"o_proj",
|
| 39 |
+
"k_proj",
|
| 40 |
+
"gate_proj",
|
| 41 |
+
"q_proj",
|
| 42 |
+
"up_proj",
|
| 43 |
+
"v_proj"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_bdlora": null,
|
| 49 |
+
"use_dora": false,
|
| 50 |
+
"use_qalora": false,
|
| 51 |
+
"use_rslora": false
|
| 52 |
+
}
|
checkpoint-2600/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea5003f82246b21d70020d9e8fc38d0f0ac28cd7af8b61f92565f9ceb14d99fc
|
| 3 |
+
size 2317553416
|
checkpoint-2600/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5574d9682ca8b3618b66fce17b27bcd4f75ceff49af2ce49dd6f8559ac6524e4
|
| 3 |
+
size 778380091
|
checkpoint-2600/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69d7ebf37e9725cb970be949af23576e43ac187ab6d5512fcf6cb0d5dd8708bf
|
| 3 |
+
size 14917
|
checkpoint-2600/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:145356ccf4dda36def109413dd618864d66c58417b58086d84dcfe042cae3d4d
|
| 3 |
+
size 14917
|
checkpoint-2600/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29a7e95a048d31e7d9e5712bbf85fc8632444e30166b0ed25502f6a768b9211d
|
| 3 |
+
size 1383
|
checkpoint-2600/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84d2835b2007b6d08ec7395893fee911f99b0612ac717c42ab1b125399831975
|
| 3 |
+
size 1465
|
checkpoint-2600/trainer_state.json
ADDED
|
@@ -0,0 +1,1854 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.8237950017822488,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2600,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0031684423145471106,
|
| 14 |
+
"grad_norm": 0.19819921255111694,
|
| 15 |
+
"learning_rate": 1.08e-05,
|
| 16 |
+
"loss": 4.8784,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.006336884629094221,
|
| 21 |
+
"grad_norm": 0.34108418226242065,
|
| 22 |
+
"learning_rate": 2.2800000000000002e-05,
|
| 23 |
+
"loss": 5.0786,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009505326943641333,
|
| 28 |
+
"grad_norm": 0.2952434718608856,
|
| 29 |
+
"learning_rate": 3.48e-05,
|
| 30 |
+
"loss": 5.0088,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.012673769258188443,
|
| 35 |
+
"grad_norm": 0.41625794768333435,
|
| 36 |
+
"learning_rate": 4.6800000000000006e-05,
|
| 37 |
+
"loss": 4.8262,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.015842211572735555,
|
| 42 |
+
"grad_norm": 1.1918175220489502,
|
| 43 |
+
"learning_rate": 5.88e-05,
|
| 44 |
+
"loss": 5.459,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.019010653887282666,
|
| 49 |
+
"grad_norm": 0.47633519768714905,
|
| 50 |
+
"learning_rate": 5.999969438702549e-05,
|
| 51 |
+
"loss": 5.6355,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.022179096201829774,
|
| 56 |
+
"grad_norm": 0.4251032769680023,
|
| 57 |
+
"learning_rate": 5.999863795510765e-05,
|
| 58 |
+
"loss": 5.5395,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.025347538516376885,
|
| 63 |
+
"grad_norm": 0.3730669617652893,
|
| 64 |
+
"learning_rate": 5.999682695781323e-05,
|
| 65 |
+
"loss": 5.539,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.028515980830923996,
|
| 70 |
+
"grad_norm": 0.3352891504764557,
|
| 71 |
+
"learning_rate": 5.9994261440694826e-05,
|
| 72 |
+
"loss": 5.5067,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.03168442314547111,
|
| 77 |
+
"grad_norm": 0.5066033005714417,
|
| 78 |
+
"learning_rate": 5.9990941468283724e-05,
|
| 79 |
+
"loss": 5.6052,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.03485286546001822,
|
| 84 |
+
"grad_norm": 0.4155944585800171,
|
| 85 |
+
"learning_rate": 5.998686712408824e-05,
|
| 86 |
+
"loss": 5.2992,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03802130777456533,
|
| 91 |
+
"grad_norm": 0.4713999927043915,
|
| 92 |
+
"learning_rate": 5.998203851059168e-05,
|
| 93 |
+
"loss": 5.4492,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.04118975008911244,
|
| 98 |
+
"grad_norm": 0.32726186513900757,
|
| 99 |
+
"learning_rate": 5.99764557492497e-05,
|
| 100 |
+
"loss": 5.3036,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.04435819240365955,
|
| 105 |
+
"grad_norm": 0.4011114537715912,
|
| 106 |
+
"learning_rate": 5.99701189804873e-05,
|
| 107 |
+
"loss": 5.3122,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04752663471820666,
|
| 112 |
+
"grad_norm": 0.46287617087364197,
|
| 113 |
+
"learning_rate": 5.9963028363695244e-05,
|
| 114 |
+
"loss": 5.3803,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.05069507703275377,
|
| 119 |
+
"grad_norm": 0.4292086660861969,
|
| 120 |
+
"learning_rate": 5.995518407722611e-05,
|
| 121 |
+
"loss": 5.1361,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05386351934730088,
|
| 126 |
+
"grad_norm": 0.46384045481681824,
|
| 127 |
+
"learning_rate": 5.994658631838974e-05,
|
| 128 |
+
"loss": 5.226,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.05703196166184799,
|
| 133 |
+
"grad_norm": 0.41396230459213257,
|
| 134 |
+
"learning_rate": 5.993723530344834e-05,
|
| 135 |
+
"loss": 5.1451,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0602004039763951,
|
| 140 |
+
"grad_norm": 0.5476190447807312,
|
| 141 |
+
"learning_rate": 5.9927131267610975e-05,
|
| 142 |
+
"loss": 5.1318,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.06336884629094222,
|
| 147 |
+
"grad_norm": 0.6672335267066956,
|
| 148 |
+
"learning_rate": 5.991627446502772e-05,
|
| 149 |
+
"loss": 5.188,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06653728860548933,
|
| 154 |
+
"grad_norm": 0.5447375774383545,
|
| 155 |
+
"learning_rate": 5.990466516878321e-05,
|
| 156 |
+
"loss": 4.9756,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.06970573092003644,
|
| 161 |
+
"grad_norm": 0.38904011249542236,
|
| 162 |
+
"learning_rate": 5.9892303670889794e-05,
|
| 163 |
+
"loss": 5.0689,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07287417323458355,
|
| 168 |
+
"grad_norm": 0.4386742115020752,
|
| 169 |
+
"learning_rate": 5.987919028228022e-05,
|
| 170 |
+
"loss": 5.0323,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07604261554913067,
|
| 175 |
+
"grad_norm": 0.5731292366981506,
|
| 176 |
+
"learning_rate": 5.986532533279975e-05,
|
| 177 |
+
"loss": 5.0404,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07921105786367777,
|
| 182 |
+
"grad_norm": 0.936024010181427,
|
| 183 |
+
"learning_rate": 5.9850709171197906e-05,
|
| 184 |
+
"loss": 5.0858,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.08237950017822487,
|
| 189 |
+
"grad_norm": 0.5377296209335327,
|
| 190 |
+
"learning_rate": 5.9835342165119716e-05,
|
| 191 |
+
"loss": 4.8807,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08554794249277199,
|
| 196 |
+
"grad_norm": 0.5450035333633423,
|
| 197 |
+
"learning_rate": 5.98192247010964e-05,
|
| 198 |
+
"loss": 4.9438,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.0887163848073191,
|
| 203 |
+
"grad_norm": 0.5310191512107849,
|
| 204 |
+
"learning_rate": 5.980235718453572e-05,
|
| 205 |
+
"loss": 4.9821,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.09188482712186621,
|
| 210 |
+
"grad_norm": 1.1713744401931763,
|
| 211 |
+
"learning_rate": 5.978474003971173e-05,
|
| 212 |
+
"loss": 4.9609,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09505326943641332,
|
| 217 |
+
"grad_norm": 0.6962549686431885,
|
| 218 |
+
"learning_rate": 5.9766373709754145e-05,
|
| 219 |
+
"loss": 4.9816,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.09822171175096044,
|
| 224 |
+
"grad_norm": 0.8181668519973755,
|
| 225 |
+
"learning_rate": 5.974725865663715e-05,
|
| 226 |
+
"loss": 4.8108,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.10139015406550754,
|
| 231 |
+
"grad_norm": 0.7138918042182922,
|
| 232 |
+
"learning_rate": 5.9727395361167815e-05,
|
| 233 |
+
"loss": 4.8991,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10455859638005466,
|
| 238 |
+
"grad_norm": 0.754770040512085,
|
| 239 |
+
"learning_rate": 5.970678432297399e-05,
|
| 240 |
+
"loss": 4.9381,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10772703869460176,
|
| 245 |
+
"grad_norm": 0.5500665307044983,
|
| 246 |
+
"learning_rate": 5.9685426060491767e-05,
|
| 247 |
+
"loss": 4.8761,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.11089548100914888,
|
| 252 |
+
"grad_norm": 0.9366258382797241,
|
| 253 |
+
"learning_rate": 5.9663321110952344e-05,
|
| 254 |
+
"loss": 4.9534,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11406392332369598,
|
| 259 |
+
"grad_norm": 0.6130990386009216,
|
| 260 |
+
"learning_rate": 5.964047003036864e-05,
|
| 261 |
+
"loss": 4.736,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.1172323656382431,
|
| 266 |
+
"grad_norm": 0.5893264412879944,
|
| 267 |
+
"learning_rate": 5.961687339352122e-05,
|
| 268 |
+
"loss": 4.8846,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1204008079527902,
|
| 273 |
+
"grad_norm": 0.5872120261192322,
|
| 274 |
+
"learning_rate": 5.959253179394388e-05,
|
| 275 |
+
"loss": 4.8049,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.12356925026733732,
|
| 280 |
+
"grad_norm": 0.9785071015357971,
|
| 281 |
+
"learning_rate": 5.956744584390867e-05,
|
| 282 |
+
"loss": 4.8355,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.12673769258188444,
|
| 287 |
+
"grad_norm": 1.110487461090088,
|
| 288 |
+
"learning_rate": 5.9541616174410565e-05,
|
| 289 |
+
"loss": 4.9169,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.12990613489643155,
|
| 294 |
+
"grad_norm": 0.8645092248916626,
|
| 295 |
+
"learning_rate": 5.9515043435151535e-05,
|
| 296 |
+
"loss": 4.7215,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.13307457721097865,
|
| 301 |
+
"grad_norm": 0.9703325033187866,
|
| 302 |
+
"learning_rate": 5.948772829452423e-05,
|
| 303 |
+
"loss": 4.832,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.13624301952552575,
|
| 308 |
+
"grad_norm": 0.6712486743927002,
|
| 309 |
+
"learning_rate": 5.945967143959516e-05,
|
| 310 |
+
"loss": 4.7938,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1394114618400729,
|
| 315 |
+
"grad_norm": 0.8329195380210876,
|
| 316 |
+
"learning_rate": 5.94308735760874e-05,
|
| 317 |
+
"loss": 4.8012,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.14257990415462,
|
| 322 |
+
"grad_norm": 1.1987477540969849,
|
| 323 |
+
"learning_rate": 5.940133542836286e-05,
|
| 324 |
+
"loss": 4.8663,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.1457483464691671,
|
| 329 |
+
"grad_norm": 0.7384081482887268,
|
| 330 |
+
"learning_rate": 5.937105773940407e-05,
|
| 331 |
+
"loss": 4.6772,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.1489167887837142,
|
| 336 |
+
"grad_norm": 0.7325354814529419,
|
| 337 |
+
"learning_rate": 5.9340041270795454e-05,
|
| 338 |
+
"loss": 4.7705,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.15208523109826133,
|
| 343 |
+
"grad_norm": 0.8904541730880737,
|
| 344 |
+
"learning_rate": 5.930828680270421e-05,
|
| 345 |
+
"loss": 4.7959,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.15525367341280844,
|
| 350 |
+
"grad_norm": 0.8368484377861023,
|
| 351 |
+
"learning_rate": 5.927579513386069e-05,
|
| 352 |
+
"loss": 4.7283,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.15842211572735554,
|
| 357 |
+
"grad_norm": 0.8346347212791443,
|
| 358 |
+
"learning_rate": 5.9242567081538255e-05,
|
| 359 |
+
"loss": 4.805,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.16159055804190264,
|
| 364 |
+
"grad_norm": 0.6190924644470215,
|
| 365 |
+
"learning_rate": 5.920860348153279e-05,
|
| 366 |
+
"loss": 4.6284,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.16475900035644975,
|
| 371 |
+
"grad_norm": 1.251244068145752,
|
| 372 |
+
"learning_rate": 5.917390518814164e-05,
|
| 373 |
+
"loss": 4.6961,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.16792744267099688,
|
| 378 |
+
"grad_norm": 0.8339656591415405,
|
| 379 |
+
"learning_rate": 5.913847307414212e-05,
|
| 380 |
+
"loss": 4.6738,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.17109588498554398,
|
| 385 |
+
"grad_norm": 0.6742847561836243,
|
| 386 |
+
"learning_rate": 5.910230803076957e-05,
|
| 387 |
+
"loss": 4.6947,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.1742643273000911,
|
| 392 |
+
"grad_norm": 0.9937411546707153,
|
| 393 |
+
"learning_rate": 5.906541096769495e-05,
|
| 394 |
+
"loss": 4.7729,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.1774327696146382,
|
| 399 |
+
"grad_norm": 0.7207300662994385,
|
| 400 |
+
"learning_rate": 5.9027782813001937e-05,
|
| 401 |
+
"loss": 4.5756,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.18060121192918532,
|
| 406 |
+
"grad_norm": 0.7032576203346252,
|
| 407 |
+
"learning_rate": 5.8989424513163595e-05,
|
| 408 |
+
"loss": 4.6814,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.18376965424373243,
|
| 413 |
+
"grad_norm": 0.6017909049987793,
|
| 414 |
+
"learning_rate": 5.895033703301855e-05,
|
| 415 |
+
"loss": 4.6421,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.18693809655827953,
|
| 420 |
+
"grad_norm": 1.0589932203292847,
|
| 421 |
+
"learning_rate": 5.8910521355746765e-05,
|
| 422 |
+
"loss": 4.6204,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.19010653887282664,
|
| 427 |
+
"grad_norm": 1.3771517276763916,
|
| 428 |
+
"learning_rate": 5.886997848284474e-05,
|
| 429 |
+
"loss": 4.7115,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.19327498118737377,
|
| 434 |
+
"grad_norm": 0.6717742681503296,
|
| 435 |
+
"learning_rate": 5.882870943410038e-05,
|
| 436 |
+
"loss": 4.5742,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.19644342350192087,
|
| 441 |
+
"grad_norm": 1.0189399719238281,
|
| 442 |
+
"learning_rate": 5.8786715247567346e-05,
|
| 443 |
+
"loss": 4.6473,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.19961186581646798,
|
| 448 |
+
"grad_norm": 0.757310688495636,
|
| 449 |
+
"learning_rate": 5.87439969795389e-05,
|
| 450 |
+
"loss": 4.643,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.20278030813101508,
|
| 455 |
+
"grad_norm": 0.7095428705215454,
|
| 456 |
+
"learning_rate": 5.870055570452133e-05,
|
| 457 |
+
"loss": 4.5934,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.2059487504455622,
|
| 462 |
+
"grad_norm": 0.9886505603790283,
|
| 463 |
+
"learning_rate": 5.8656392515207005e-05,
|
| 464 |
+
"loss": 4.6542,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.20911719276010932,
|
| 469 |
+
"grad_norm": 0.6527100801467896,
|
| 470 |
+
"learning_rate": 5.8611508522446806e-05,
|
| 471 |
+
"loss": 4.5105,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.21228563507465642,
|
| 476 |
+
"grad_norm": 0.5825519561767578,
|
| 477 |
+
"learning_rate": 5.856590485522222e-05,
|
| 478 |
+
"loss": 4.5786,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.21545407738920352,
|
| 483 |
+
"grad_norm": 0.9389135241508484,
|
| 484 |
+
"learning_rate": 5.851958266061694e-05,
|
| 485 |
+
"loss": 4.5739,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.21862251970375066,
|
| 490 |
+
"grad_norm": 0.7726446986198425,
|
| 491 |
+
"learning_rate": 5.847254310378801e-05,
|
| 492 |
+
"loss": 4.5618,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.22179096201829776,
|
| 497 |
+
"grad_norm": 1.239856481552124,
|
| 498 |
+
"learning_rate": 5.842478736793649e-05,
|
| 499 |
+
"loss": 4.6292,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.22495940433284486,
|
| 504 |
+
"grad_norm": 0.6877331733703613,
|
| 505 |
+
"learning_rate": 5.837631665427778e-05,
|
| 506 |
+
"loss": 4.5048,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.22812784664739197,
|
| 511 |
+
"grad_norm": 0.801625669002533,
|
| 512 |
+
"learning_rate": 5.832713218201127e-05,
|
| 513 |
+
"loss": 4.533,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.2312962889619391,
|
| 518 |
+
"grad_norm": 0.967643141746521,
|
| 519 |
+
"learning_rate": 5.827723518828983e-05,
|
| 520 |
+
"loss": 4.5331,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.2344647312764862,
|
| 525 |
+
"grad_norm": 0.8205392956733704,
|
| 526 |
+
"learning_rate": 5.822662692818855e-05,
|
| 527 |
+
"loss": 4.5119,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.2376331735910333,
|
| 532 |
+
"grad_norm": 0.9368473291397095,
|
| 533 |
+
"learning_rate": 5.817530867467324e-05,
|
| 534 |
+
"loss": 4.5771,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.2408016159055804,
|
| 539 |
+
"grad_norm": 0.7767211198806763,
|
| 540 |
+
"learning_rate": 5.812328171856844e-05,
|
| 541 |
+
"loss": 4.4603,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.24397005822012752,
|
| 546 |
+
"grad_norm": 0.7029015421867371,
|
| 547 |
+
"learning_rate": 5.807054736852488e-05,
|
| 548 |
+
"loss": 4.5231,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.24713850053467465,
|
| 553 |
+
"grad_norm": 0.6616556644439697,
|
| 554 |
+
"learning_rate": 5.80171069509866e-05,
|
| 555 |
+
"loss": 4.5496,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.2503069428492217,
|
| 560 |
+
"grad_norm": 0.6856383085250854,
|
| 561 |
+
"learning_rate": 5.79629618101576e-05,
|
| 562 |
+
"loss": 4.5211,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.2534753851637689,
|
| 567 |
+
"grad_norm": 1.8431510925292969,
|
| 568 |
+
"learning_rate": 5.790811330796798e-05,
|
| 569 |
+
"loss": 4.5532,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.256643827478316,
|
| 574 |
+
"grad_norm": 0.6598497629165649,
|
| 575 |
+
"learning_rate": 5.7852562824039755e-05,
|
| 576 |
+
"loss": 4.4197,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2598122697928631,
|
| 581 |
+
"grad_norm": 0.7226588726043701,
|
| 582 |
+
"learning_rate": 5.779631175565207e-05,
|
| 583 |
+
"loss": 4.5192,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.2629807121074102,
|
| 588 |
+
"grad_norm": 0.7087457776069641,
|
| 589 |
+
"learning_rate": 5.773936151770615e-05,
|
| 590 |
+
"loss": 4.4458,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.2661491544219573,
|
| 595 |
+
"grad_norm": 0.6751745343208313,
|
| 596 |
+
"learning_rate": 5.768171354268959e-05,
|
| 597 |
+
"loss": 4.4599,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.2693175967365044,
|
| 602 |
+
"grad_norm": 1.1364294290542603,
|
| 603 |
+
"learning_rate": 5.762336928064043e-05,
|
| 604 |
+
"loss": 4.5292,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.2724860390510515,
|
| 609 |
+
"grad_norm": 0.6589078307151794,
|
| 610 |
+
"learning_rate": 5.756433019911064e-05,
|
| 611 |
+
"loss": 4.4059,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.2756544813655986,
|
| 616 |
+
"grad_norm": 0.560736358165741,
|
| 617 |
+
"learning_rate": 5.750459778312922e-05,
|
| 618 |
+
"loss": 4.4956,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.2788229236801458,
|
| 623 |
+
"grad_norm": 0.5596962571144104,
|
| 624 |
+
"learning_rate": 5.744417353516479e-05,
|
| 625 |
+
"loss": 4.4729,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.2819913659946929,
|
| 630 |
+
"grad_norm": 0.7742477655410767,
|
| 631 |
+
"learning_rate": 5.738305897508787e-05,
|
| 632 |
+
"loss": 4.4419,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.28515980830924,
|
| 637 |
+
"grad_norm": 1.0753636360168457,
|
| 638 |
+
"learning_rate": 5.7321255640132634e-05,
|
| 639 |
+
"loss": 4.4975,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.2883282506237871,
|
| 644 |
+
"grad_norm": 0.6066401600837708,
|
| 645 |
+
"learning_rate": 5.7258765084858206e-05,
|
| 646 |
+
"loss": 4.3749,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.2914966929383342,
|
| 651 |
+
"grad_norm": 0.7095748782157898,
|
| 652 |
+
"learning_rate": 5.71955888811096e-05,
|
| 653 |
+
"loss": 4.4388,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.2946651352528813,
|
| 658 |
+
"grad_norm": 0.6218913197517395,
|
| 659 |
+
"learning_rate": 5.713172861797817e-05,
|
| 660 |
+
"loss": 4.4335,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.2978335775674284,
|
| 665 |
+
"grad_norm": 0.733177125453949,
|
| 666 |
+
"learning_rate": 5.706718590176163e-05,
|
| 667 |
+
"loss": 4.3898,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.3010020198819755,
|
| 672 |
+
"grad_norm": 0.7186071872711182,
|
| 673 |
+
"learning_rate": 5.7001962355923634e-05,
|
| 674 |
+
"loss": 4.4902,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.30417046219652266,
|
| 679 |
+
"grad_norm": 0.6571614742279053,
|
| 680 |
+
"learning_rate": 5.693605962105299e-05,
|
| 681 |
+
"loss": 4.3314,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.30733890451106977,
|
| 686 |
+
"grad_norm": 0.5829080939292908,
|
| 687 |
+
"learning_rate": 5.686947935482238e-05,
|
| 688 |
+
"loss": 4.4134,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.31050734682561687,
|
| 693 |
+
"grad_norm": 0.7523115277290344,
|
| 694 |
+
"learning_rate": 5.680222323194659e-05,
|
| 695 |
+
"loss": 4.4089,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.313675789140164,
|
| 700 |
+
"grad_norm": 0.656211256980896,
|
| 701 |
+
"learning_rate": 5.67342929441405e-05,
|
| 702 |
+
"loss": 4.3543,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.3168442314547111,
|
| 707 |
+
"grad_norm": 0.7600722908973694,
|
| 708 |
+
"learning_rate": 5.666569020007646e-05,
|
| 709 |
+
"loss": 4.4595,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.3200126737692582,
|
| 714 |
+
"grad_norm": 0.656880795955658,
|
| 715 |
+
"learning_rate": 5.659641672534133e-05,
|
| 716 |
+
"loss": 4.3119,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.3231811160838053,
|
| 721 |
+
"grad_norm": 0.6571980118751526,
|
| 722 |
+
"learning_rate": 5.652647426239307e-05,
|
| 723 |
+
"loss": 4.3918,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.3263495583983524,
|
| 728 |
+
"grad_norm": 0.6933376789093018,
|
| 729 |
+
"learning_rate": 5.645586457051691e-05,
|
| 730 |
+
"loss": 4.375,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.3295180007128995,
|
| 735 |
+
"grad_norm": 0.6467803120613098,
|
| 736 |
+
"learning_rate": 5.638458942578113e-05,
|
| 737 |
+
"loss": 4.3653,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.33268644302744665,
|
| 742 |
+
"grad_norm": 0.953302800655365,
|
| 743 |
+
"learning_rate": 5.631265062099231e-05,
|
| 744 |
+
"loss": 4.4577,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.33585488534199376,
|
| 749 |
+
"grad_norm": 0.6458297371864319,
|
| 750 |
+
"learning_rate": 5.624004996565034e-05,
|
| 751 |
+
"loss": 4.3215,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.33902332765654086,
|
| 756 |
+
"grad_norm": 0.7524490356445312,
|
| 757 |
+
"learning_rate": 5.616678928590282e-05,
|
| 758 |
+
"loss": 4.3805,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.34219176997108797,
|
| 763 |
+
"grad_norm": 0.6345677971839905,
|
| 764 |
+
"learning_rate": 5.609287042449915e-05,
|
| 765 |
+
"loss": 4.3734,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.34536021228563507,
|
| 770 |
+
"grad_norm": 0.7871711254119873,
|
| 771 |
+
"learning_rate": 5.601829524074421e-05,
|
| 772 |
+
"loss": 4.3407,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.3485286546001822,
|
| 777 |
+
"grad_norm": 0.9771536588668823,
|
| 778 |
+
"learning_rate": 5.594306561045154e-05,
|
| 779 |
+
"loss": 4.4314,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.3516970969147293,
|
| 784 |
+
"grad_norm": 1.0256335735321045,
|
| 785 |
+
"learning_rate": 5.58671834258962e-05,
|
| 786 |
+
"loss": 4.2951,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.3548655392292764,
|
| 791 |
+
"grad_norm": 0.6928941011428833,
|
| 792 |
+
"learning_rate": 5.579065059576715e-05,
|
| 793 |
+
"loss": 4.3752,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.35803398154382354,
|
| 798 |
+
"grad_norm": 0.6043074727058411,
|
| 799 |
+
"learning_rate": 5.571346904511926e-05,
|
| 800 |
+
"loss": 4.3098,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.36120242385837065,
|
| 805 |
+
"grad_norm": 0.7384766936302185,
|
| 806 |
+
"learning_rate": 5.563564071532485e-05,
|
| 807 |
+
"loss": 4.3167,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.36437086617291775,
|
| 812 |
+
"grad_norm": 0.8783435821533203,
|
| 813 |
+
"learning_rate": 5.5557167564024915e-05,
|
| 814 |
+
"loss": 4.3998,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.36753930848746486,
|
| 819 |
+
"grad_norm": 0.6876351237297058,
|
| 820 |
+
"learning_rate": 5.547805156507982e-05,
|
| 821 |
+
"loss": 4.2727,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.37070775080201196,
|
| 826 |
+
"grad_norm": 0.7212591767311096,
|
| 827 |
+
"learning_rate": 5.539829470851971e-05,
|
| 828 |
+
"loss": 4.3282,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.37387619311655906,
|
| 833 |
+
"grad_norm": 0.5978643298149109,
|
| 834 |
+
"learning_rate": 5.531789900049443e-05,
|
| 835 |
+
"loss": 4.3209,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.37704463543110617,
|
| 840 |
+
"grad_norm": 0.664043664932251,
|
| 841 |
+
"learning_rate": 5.523686646322302e-05,
|
| 842 |
+
"loss": 4.2844,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.38021307774565327,
|
| 847 |
+
"grad_norm": 0.7288404703140259,
|
| 848 |
+
"learning_rate": 5.5155199134942934e-05,
|
| 849 |
+
"loss": 4.3441,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.38338152006020043,
|
| 854 |
+
"grad_norm": 0.7507999539375305,
|
| 855 |
+
"learning_rate": 5.5072899069858713e-05,
|
| 856 |
+
"loss": 4.2622,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.38654996237474754,
|
| 861 |
+
"grad_norm": 0.6607810854911804,
|
| 862 |
+
"learning_rate": 5.4989968338090334e-05,
|
| 863 |
+
"loss": 4.303,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.38971840468929464,
|
| 868 |
+
"grad_norm": 0.5649368762969971,
|
| 869 |
+
"learning_rate": 5.4906409025621125e-05,
|
| 870 |
+
"loss": 4.2851,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.39288684700384174,
|
| 875 |
+
"grad_norm": 0.629998505115509,
|
| 876 |
+
"learning_rate": 5.4822223234245316e-05,
|
| 877 |
+
"loss": 4.3002,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.39605528931838885,
|
| 882 |
+
"grad_norm": 0.8486919403076172,
|
| 883 |
+
"learning_rate": 5.473741308151516e-05,
|
| 884 |
+
"loss": 4.3504,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.39922373163293595,
|
| 889 |
+
"grad_norm": 0.5649373531341553,
|
| 890 |
+
"learning_rate": 5.465198070068767e-05,
|
| 891 |
+
"loss": 4.2283,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.40239217394748306,
|
| 896 |
+
"grad_norm": 0.5860993266105652,
|
| 897 |
+
"learning_rate": 5.456592824067098e-05,
|
| 898 |
+
"loss": 4.2915,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.40556061626203016,
|
| 903 |
+
"grad_norm": 0.6270817518234253,
|
| 904 |
+
"learning_rate": 5.447925786597022e-05,
|
| 905 |
+
"loss": 4.2767,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.40872905857657726,
|
| 910 |
+
"grad_norm": 0.804476261138916,
|
| 911 |
+
"learning_rate": 5.43919717566332e-05,
|
| 912 |
+
"loss": 4.2385,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.4118975008911244,
|
| 917 |
+
"grad_norm": 0.7757463455200195,
|
| 918 |
+
"learning_rate": 5.4304072108195446e-05,
|
| 919 |
+
"loss": 4.3116,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.41506594320567153,
|
| 924 |
+
"grad_norm": 0.6625142097473145,
|
| 925 |
+
"learning_rate": 5.421556113162507e-05,
|
| 926 |
+
"loss": 4.2071,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.41823438552021863,
|
| 931 |
+
"grad_norm": 0.8527606725692749,
|
| 932 |
+
"learning_rate": 5.412644105326707e-05,
|
| 933 |
+
"loss": 4.2767,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.42140282783476574,
|
| 938 |
+
"grad_norm": 0.6349330544471741,
|
| 939 |
+
"learning_rate": 5.403671411478743e-05,
|
| 940 |
+
"loss": 4.2691,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.42457127014931284,
|
| 945 |
+
"grad_norm": 0.645797610282898,
|
| 946 |
+
"learning_rate": 5.3946382573116634e-05,
|
| 947 |
+
"loss": 4.241,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.42773971246385994,
|
| 952 |
+
"grad_norm": 0.8075301051139832,
|
| 953 |
+
"learning_rate": 5.385544870039298e-05,
|
| 954 |
+
"loss": 4.3141,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.43090815477840705,
|
| 959 |
+
"grad_norm": 0.6528099179267883,
|
| 960 |
+
"learning_rate": 5.376391478390538e-05,
|
| 961 |
+
"loss": 4.2255,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.43407659709295415,
|
| 966 |
+
"grad_norm": 0.5646510124206543,
|
| 967 |
+
"learning_rate": 5.3671783126035816e-05,
|
| 968 |
+
"loss": 4.275,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.4372450394075013,
|
| 973 |
+
"grad_norm": 0.5868734121322632,
|
| 974 |
+
"learning_rate": 5.35790560442015e-05,
|
| 975 |
+
"loss": 4.2824,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.4404134817220484,
|
| 980 |
+
"grad_norm": 0.5941547155380249,
|
| 981 |
+
"learning_rate": 5.3485735870796495e-05,
|
| 982 |
+
"loss": 4.2643,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.4435819240365955,
|
| 987 |
+
"grad_norm": 0.7245291471481323,
|
| 988 |
+
"learning_rate": 5.33918249531331e-05,
|
| 989 |
+
"loss": 4.3082,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.4467503663511426,
|
| 994 |
+
"grad_norm": 0.7147409319877625,
|
| 995 |
+
"learning_rate": 5.329732565338279e-05,
|
| 996 |
+
"loss": 4.1898,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.44991880866568973,
|
| 1001 |
+
"grad_norm": 0.786919116973877,
|
| 1002 |
+
"learning_rate": 5.32022403485168e-05,
|
| 1003 |
+
"loss": 4.2158,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.45308725098023683,
|
| 1008 |
+
"grad_norm": 0.536165714263916,
|
| 1009 |
+
"learning_rate": 5.3106571430246365e-05,
|
| 1010 |
+
"loss": 4.2215,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.45625569329478394,
|
| 1015 |
+
"grad_norm": 0.6742566227912903,
|
| 1016 |
+
"learning_rate": 5.3010321304962504e-05,
|
| 1017 |
+
"loss": 4.2197,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.45942413560933104,
|
| 1022 |
+
"grad_norm": 0.7584452629089355,
|
| 1023 |
+
"learning_rate": 5.291349239367554e-05,
|
| 1024 |
+
"loss": 4.2972,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.4625925779238782,
|
| 1029 |
+
"grad_norm": 0.6290245652198792,
|
| 1030 |
+
"learning_rate": 5.2816087131954176e-05,
|
| 1031 |
+
"loss": 4.1603,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.4657610202384253,
|
| 1036 |
+
"grad_norm": 0.568684458732605,
|
| 1037 |
+
"learning_rate": 5.2718107969864256e-05,
|
| 1038 |
+
"loss": 4.2252,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.4689294625529724,
|
| 1043 |
+
"grad_norm": 0.5879467725753784,
|
| 1044 |
+
"learning_rate": 5.2619557371907104e-05,
|
| 1045 |
+
"loss": 4.2296,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.4720979048675195,
|
| 1050 |
+
"grad_norm": 0.5704094767570496,
|
| 1051 |
+
"learning_rate": 5.252043781695758e-05,
|
| 1052 |
+
"loss": 4.196,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.4752663471820666,
|
| 1057 |
+
"grad_norm": 0.7437434196472168,
|
| 1058 |
+
"learning_rate": 5.2420751798201685e-05,
|
| 1059 |
+
"loss": 4.2732,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.4784347894966137,
|
| 1064 |
+
"grad_norm": 0.6576899886131287,
|
| 1065 |
+
"learning_rate": 5.2320501823073866e-05,
|
| 1066 |
+
"loss": 4.148,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.4816032318111608,
|
| 1071 |
+
"grad_norm": 0.5717647671699524,
|
| 1072 |
+
"learning_rate": 5.221969041319396e-05,
|
| 1073 |
+
"loss": 4.2104,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.48477167412570793,
|
| 1078 |
+
"grad_norm": 0.5533893704414368,
|
| 1079 |
+
"learning_rate": 5.211832010430372e-05,
|
| 1080 |
+
"loss": 4.2493,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.48794011644025503,
|
| 1085 |
+
"grad_norm": 0.7069125771522522,
|
| 1086 |
+
"learning_rate": 5.201639344620311e-05,
|
| 1087 |
+
"loss": 4.1852,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.4911085587548022,
|
| 1092 |
+
"grad_norm": 0.7158598899841309,
|
| 1093 |
+
"learning_rate": 5.19139130026861e-05,
|
| 1094 |
+
"loss": 4.2715,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.4942770010693493,
|
| 1099 |
+
"grad_norm": 0.7333923578262329,
|
| 1100 |
+
"learning_rate": 5.181088135147618e-05,
|
| 1101 |
+
"loss": 4.1606,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.4974454433838964,
|
| 1106 |
+
"grad_norm": 0.591325581073761,
|
| 1107 |
+
"learning_rate": 5.17073010841616e-05,
|
| 1108 |
+
"loss": 4.2218,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.5006138856984435,
|
| 1113 |
+
"grad_norm": 0.5837592482566833,
|
| 1114 |
+
"learning_rate": 5.160317480613008e-05,
|
| 1115 |
+
"loss": 4.2246,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.5037823280129906,
|
| 1120 |
+
"grad_norm": 0.5487062931060791,
|
| 1121 |
+
"learning_rate": 5.1498505136503346e-05,
|
| 1122 |
+
"loss": 4.1844,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.5069507703275378,
|
| 1127 |
+
"grad_norm": 0.710067868232727,
|
| 1128 |
+
"learning_rate": 5.13932947080712e-05,
|
| 1129 |
+
"loss": 4.269,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.5101192126420848,
|
| 1134 |
+
"grad_norm": 0.6167586445808411,
|
| 1135 |
+
"learning_rate": 5.128754616722538e-05,
|
| 1136 |
+
"loss": 4.1127,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.513287654956632,
|
| 1141 |
+
"grad_norm": 0.5606287121772766,
|
| 1142 |
+
"learning_rate": 5.1181262173892856e-05,
|
| 1143 |
+
"loss": 4.2095,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.516456097271179,
|
| 1148 |
+
"grad_norm": 0.5047624707221985,
|
| 1149 |
+
"learning_rate": 5.1074445401469083e-05,
|
| 1150 |
+
"loss": 4.2135,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.5196245395857262,
|
| 1155 |
+
"grad_norm": 0.5399725437164307,
|
| 1156 |
+
"learning_rate": 5.0967098536750647e-05,
|
| 1157 |
+
"loss": 4.1672,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.5227929819002732,
|
| 1162 |
+
"grad_norm": 0.6514358520507812,
|
| 1163 |
+
"learning_rate": 5.085922427986772e-05,
|
| 1164 |
+
"loss": 4.225,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.5259614242148204,
|
| 1169 |
+
"grad_norm": 0.564847469329834,
|
| 1170 |
+
"learning_rate": 5.075082534421612e-05,
|
| 1171 |
+
"loss": 4.127,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.5291298665293676,
|
| 1176 |
+
"grad_norm": 0.5189889669418335,
|
| 1177 |
+
"learning_rate": 5.064190445638911e-05,
|
| 1178 |
+
"loss": 4.1728,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.5322983088439146,
|
| 1183 |
+
"grad_norm": 0.5365839600563049,
|
| 1184 |
+
"learning_rate": 5.053246435610877e-05,
|
| 1185 |
+
"loss": 4.2158,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.5354667511584618,
|
| 1190 |
+
"grad_norm": 0.6148782968521118,
|
| 1191 |
+
"learning_rate": 5.042250779615707e-05,
|
| 1192 |
+
"loss": 4.1489,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.5386351934730088,
|
| 1197 |
+
"grad_norm": 0.7295161485671997,
|
| 1198 |
+
"learning_rate": 5.031203754230673e-05,
|
| 1199 |
+
"loss": 4.2382,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.541803635787556,
|
| 1204 |
+
"grad_norm": 0.5799641609191895,
|
| 1205 |
+
"learning_rate": 5.020105637325149e-05,
|
| 1206 |
+
"loss": 4.1181,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.544972078102103,
|
| 1211 |
+
"grad_norm": 0.5710809826850891,
|
| 1212 |
+
"learning_rate": 5.008956708053636e-05,
|
| 1213 |
+
"loss": 4.1645,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.5481405204166502,
|
| 1218 |
+
"grad_norm": 0.5518040657043457,
|
| 1219 |
+
"learning_rate": 4.997757246848732e-05,
|
| 1220 |
+
"loss": 4.1606,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.5513089627311972,
|
| 1225 |
+
"grad_norm": 0.5413836240768433,
|
| 1226 |
+
"learning_rate": 4.986507535414084e-05,
|
| 1227 |
+
"loss": 4.1536,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.5544774050457444,
|
| 1232 |
+
"grad_norm": 0.7452698349952698,
|
| 1233 |
+
"learning_rate": 4.9752078567172964e-05,
|
| 1234 |
+
"loss": 4.2324,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.5576458473602915,
|
| 1239 |
+
"grad_norm": 0.6706964373588562,
|
| 1240 |
+
"learning_rate": 4.9638584949828173e-05,
|
| 1241 |
+
"loss": 4.1125,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.5608142896748386,
|
| 1246 |
+
"grad_norm": 0.5712190866470337,
|
| 1247 |
+
"learning_rate": 4.9524597356847874e-05,
|
| 1248 |
+
"loss": 4.1893,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.5639827319893858,
|
| 1253 |
+
"grad_norm": 0.5321968197822571,
|
| 1254 |
+
"learning_rate": 4.941011865539862e-05,
|
| 1255 |
+
"loss": 4.1646,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.5671511743039328,
|
| 1260 |
+
"grad_norm": 0.6286525130271912,
|
| 1261 |
+
"learning_rate": 4.929515172499995e-05,
|
| 1262 |
+
"loss": 4.1511,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.57031961661848,
|
| 1267 |
+
"grad_norm": 0.6667159795761108,
|
| 1268 |
+
"learning_rate": 4.9179699457452e-05,
|
| 1269 |
+
"loss": 4.2139,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.573488058933027,
|
| 1274 |
+
"grad_norm": 0.5475627779960632,
|
| 1275 |
+
"learning_rate": 4.906376475676274e-05,
|
| 1276 |
+
"loss": 4.0965,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.5766565012475742,
|
| 1281 |
+
"grad_norm": 0.48938098549842834,
|
| 1282 |
+
"learning_rate": 4.8947350539074924e-05,
|
| 1283 |
+
"loss": 4.1634,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.5798249435621212,
|
| 1288 |
+
"grad_norm": 0.5483301877975464,
|
| 1289 |
+
"learning_rate": 4.8830459732592786e-05,
|
| 1290 |
+
"loss": 4.1613,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.5829933858766684,
|
| 1295 |
+
"grad_norm": 0.577273964881897,
|
| 1296 |
+
"learning_rate": 4.871309527750832e-05,
|
| 1297 |
+
"loss": 4.1687,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.5861618281912155,
|
| 1302 |
+
"grad_norm": 0.7053927183151245,
|
| 1303 |
+
"learning_rate": 4.8595260125927354e-05,
|
| 1304 |
+
"loss": 4.2101,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.5893302705057626,
|
| 1309 |
+
"grad_norm": 0.5983800292015076,
|
| 1310 |
+
"learning_rate": 4.847695724179532e-05,
|
| 1311 |
+
"loss": 4.0919,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.5924987128203097,
|
| 1316 |
+
"grad_norm": 0.5336448550224304,
|
| 1317 |
+
"learning_rate": 4.835818960082266e-05,
|
| 1318 |
+
"loss": 4.1571,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.5956671551348568,
|
| 1323 |
+
"grad_norm": 0.5257425904273987,
|
| 1324 |
+
"learning_rate": 4.8238960190409985e-05,
|
| 1325 |
+
"loss": 4.1811,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.598835597449404,
|
| 1330 |
+
"grad_norm": 0.5968250632286072,
|
| 1331 |
+
"learning_rate": 4.8119272009572985e-05,
|
| 1332 |
+
"loss": 4.1438,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.602004039763951,
|
| 1337 |
+
"grad_norm": 0.7344405651092529,
|
| 1338 |
+
"learning_rate": 4.7999128068866885e-05,
|
| 1339 |
+
"loss": 4.2127,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.6051724820784982,
|
| 1344 |
+
"grad_norm": 0.5544557571411133,
|
| 1345 |
+
"learning_rate": 4.787853139031083e-05,
|
| 1346 |
+
"loss": 4.0893,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.6083409243930453,
|
| 1351 |
+
"grad_norm": 0.5338890552520752,
|
| 1352 |
+
"learning_rate": 4.775748500731181e-05,
|
| 1353 |
+
"loss": 4.1678,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.6115093667075924,
|
| 1358 |
+
"grad_norm": 0.47402748465538025,
|
| 1359 |
+
"learning_rate": 4.7635991964588386e-05,
|
| 1360 |
+
"loss": 4.1759,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.6146778090221395,
|
| 1365 |
+
"grad_norm": 0.4969950020313263,
|
| 1366 |
+
"learning_rate": 4.75140553180941e-05,
|
| 1367 |
+
"loss": 4.1487,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.6178462513366866,
|
| 1372 |
+
"grad_norm": 0.6715970635414124,
|
| 1373 |
+
"learning_rate": 4.739167813494056e-05,
|
| 1374 |
+
"loss": 4.1992,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.6210146936512337,
|
| 1379 |
+
"grad_norm": 0.5524842739105225,
|
| 1380 |
+
"learning_rate": 4.726886349332038e-05,
|
| 1381 |
+
"loss": 4.1092,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.6241831359657808,
|
| 1386 |
+
"grad_norm": 0.4865887463092804,
|
| 1387 |
+
"learning_rate": 4.7145614482429685e-05,
|
| 1388 |
+
"loss": 4.1495,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.627351578280328,
|
| 1393 |
+
"grad_norm": 0.4711080491542816,
|
| 1394 |
+
"learning_rate": 4.702193420239044e-05,
|
| 1395 |
+
"loss": 4.1299,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.630520020594875,
|
| 1400 |
+
"grad_norm": 0.5955727696418762,
|
| 1401 |
+
"learning_rate": 4.689782576417247e-05,
|
| 1402 |
+
"loss": 4.137,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.6336884629094222,
|
| 1407 |
+
"grad_norm": 0.7601689100265503,
|
| 1408 |
+
"learning_rate": 4.677329228951516e-05,
|
| 1409 |
+
"loss": 4.1742,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.6368569052239693,
|
| 1414 |
+
"grad_norm": 0.5171808004379272,
|
| 1415 |
+
"learning_rate": 4.6648336910849016e-05,
|
| 1416 |
+
"loss": 4.0932,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.6400253475385164,
|
| 1421 |
+
"grad_norm": 0.5088027119636536,
|
| 1422 |
+
"learning_rate": 4.6522962771216815e-05,
|
| 1423 |
+
"loss": 4.132,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.6431937898530635,
|
| 1428 |
+
"grad_norm": 0.5218876600265503,
|
| 1429 |
+
"learning_rate": 4.639717302419457e-05,
|
| 1430 |
+
"loss": 4.1397,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.6463622321676106,
|
| 1435 |
+
"grad_norm": 0.5443329811096191,
|
| 1436 |
+
"learning_rate": 4.6270970833812175e-05,
|
| 1437 |
+
"loss": 4.117,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.6495306744821577,
|
| 1442 |
+
"grad_norm": 0.6737596988677979,
|
| 1443 |
+
"learning_rate": 4.614435937447388e-05,
|
| 1444 |
+
"loss": 4.1727,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.6526991167967048,
|
| 1449 |
+
"grad_norm": 0.5711850523948669,
|
| 1450 |
+
"learning_rate": 4.601734183087838e-05,
|
| 1451 |
+
"loss": 4.0852,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.6558675591112519,
|
| 1456 |
+
"grad_norm": 0.5270329117774963,
|
| 1457 |
+
"learning_rate": 4.588992139793876e-05,
|
| 1458 |
+
"loss": 4.1357,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.659036001425799,
|
| 1463 |
+
"grad_norm": 0.4742993116378784,
|
| 1464 |
+
"learning_rate": 4.57621012807021e-05,
|
| 1465 |
+
"loss": 4.1446,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.6622044437403461,
|
| 1470 |
+
"grad_norm": 0.5585448741912842,
|
| 1471 |
+
"learning_rate": 4.563388469426885e-05,
|
| 1472 |
+
"loss": 4.0862,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.6653728860548933,
|
| 1477 |
+
"grad_norm": 0.7161533832550049,
|
| 1478 |
+
"learning_rate": 4.550527486371202e-05,
|
| 1479 |
+
"loss": 4.1865,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.6685413283694404,
|
| 1484 |
+
"grad_norm": 0.5912854671478271,
|
| 1485 |
+
"learning_rate": 4.5376275023995955e-05,
|
| 1486 |
+
"loss": 4.0892,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.6717097706839875,
|
| 1491 |
+
"grad_norm": 0.5607186555862427,
|
| 1492 |
+
"learning_rate": 4.524688841989509e-05,
|
| 1493 |
+
"loss": 4.1535,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.6748782129985346,
|
| 1498 |
+
"grad_norm": 0.4660521149635315,
|
| 1499 |
+
"learning_rate": 4.5117118305912235e-05,
|
| 1500 |
+
"loss": 4.1479,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.6780466553130817,
|
| 1505 |
+
"grad_norm": 0.5167705416679382,
|
| 1506 |
+
"learning_rate": 4.498696794619674e-05,
|
| 1507 |
+
"loss": 4.1185,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.6812150976276288,
|
| 1512 |
+
"grad_norm": 0.8260408639907837,
|
| 1513 |
+
"learning_rate": 4.485644061446242e-05,
|
| 1514 |
+
"loss": 4.1922,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.6843835399421759,
|
| 1519 |
+
"grad_norm": 0.5153993964195251,
|
| 1520 |
+
"learning_rate": 4.472553959390517e-05,
|
| 1521 |
+
"loss": 4.0546,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.6875519822567231,
|
| 1526 |
+
"grad_norm": 0.5324990749359131,
|
| 1527 |
+
"learning_rate": 4.459426817712041e-05,
|
| 1528 |
+
"loss": 4.1277,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.6907204245712701,
|
| 1533 |
+
"grad_norm": 0.49382662773132324,
|
| 1534 |
+
"learning_rate": 4.446262966602026e-05,
|
| 1535 |
+
"loss": 4.1258,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.6938888668858173,
|
| 1540 |
+
"grad_norm": 0.5588397979736328,
|
| 1541 |
+
"learning_rate": 4.433062737175047e-05,
|
| 1542 |
+
"loss": 4.1085,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.6970573092003644,
|
| 1547 |
+
"grad_norm": 0.6423320174217224,
|
| 1548 |
+
"learning_rate": 4.419826461460713e-05,
|
| 1549 |
+
"loss": 4.1834,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.7002257515149115,
|
| 1554 |
+
"grad_norm": 0.4890613555908203,
|
| 1555 |
+
"learning_rate": 4.4065544723953226e-05,
|
| 1556 |
+
"loss": 4.061,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.7033941938294586,
|
| 1561 |
+
"grad_norm": 0.5085791945457458,
|
| 1562 |
+
"learning_rate": 4.393247103813477e-05,
|
| 1563 |
+
"loss": 4.1245,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.7065626361440057,
|
| 1568 |
+
"grad_norm": 0.5115344524383545,
|
| 1569 |
+
"learning_rate": 4.379904690439693e-05,
|
| 1570 |
+
"loss": 4.098,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.7097310784585528,
|
| 1575 |
+
"grad_norm": 0.5206218957901001,
|
| 1576 |
+
"learning_rate": 4.366527567879982e-05,
|
| 1577 |
+
"loss": 4.1054,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.7128995207730999,
|
| 1582 |
+
"grad_norm": 0.789270281791687,
|
| 1583 |
+
"learning_rate": 4.353116072613402e-05,
|
| 1584 |
+
"loss": 4.1661,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.7160679630876471,
|
| 1589 |
+
"grad_norm": 0.49856895208358765,
|
| 1590 |
+
"learning_rate": 4.3396705419836045e-05,
|
| 1591 |
+
"loss": 4.0442,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.7192364054021941,
|
| 1596 |
+
"grad_norm": 0.514216423034668,
|
| 1597 |
+
"learning_rate": 4.326191314190337e-05,
|
| 1598 |
+
"loss": 4.1114,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.7224048477167413,
|
| 1603 |
+
"grad_norm": 0.4798983335494995,
|
| 1604 |
+
"learning_rate": 4.312678728280949e-05,
|
| 1605 |
+
"loss": 4.0956,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.7255732900312883,
|
| 1610 |
+
"grad_norm": 0.4672533869743347,
|
| 1611 |
+
"learning_rate": 4.2991331241418526e-05,
|
| 1612 |
+
"loss": 4.102,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.7287417323458355,
|
| 1617 |
+
"grad_norm": 0.6502472162246704,
|
| 1618 |
+
"learning_rate": 4.285554842489979e-05,
|
| 1619 |
+
"loss": 4.1529,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.7319101746603826,
|
| 1624 |
+
"grad_norm": 0.5197892189025879,
|
| 1625 |
+
"learning_rate": 4.271944224864211e-05,
|
| 1626 |
+
"loss": 4.0521,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.7350786169749297,
|
| 1631 |
+
"grad_norm": 0.529775857925415,
|
| 1632 |
+
"learning_rate": 4.258301613616782e-05,
|
| 1633 |
+
"loss": 4.0959,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.7382470592894768,
|
| 1638 |
+
"grad_norm": 0.485669881105423,
|
| 1639 |
+
"learning_rate": 4.244627351904679e-05,
|
| 1640 |
+
"loss": 4.1129,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.7414155016040239,
|
| 1645 |
+
"grad_norm": 0.5141621232032776,
|
| 1646 |
+
"learning_rate": 4.230921783680997e-05,
|
| 1647 |
+
"loss": 4.0955,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.7445839439185711,
|
| 1652 |
+
"grad_norm": 0.7021406888961792,
|
| 1653 |
+
"learning_rate": 4.2171852536862944e-05,
|
| 1654 |
+
"loss": 4.1417,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.7477523862331181,
|
| 1659 |
+
"grad_norm": 0.5417028069496155,
|
| 1660 |
+
"learning_rate": 4.203418107439927e-05,
|
| 1661 |
+
"loss": 4.0312,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.7509208285476653,
|
| 1666 |
+
"grad_norm": 0.548985481262207,
|
| 1667 |
+
"learning_rate": 4.189620691231342e-05,
|
| 1668 |
+
"loss": 4.1178,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.7540892708622123,
|
| 1673 |
+
"grad_norm": 0.4555108845233917,
|
| 1674 |
+
"learning_rate": 4.1757933521113845e-05,
|
| 1675 |
+
"loss": 4.1136,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.7572577131767595,
|
| 1680 |
+
"grad_norm": 0.45966508984565735,
|
| 1681 |
+
"learning_rate": 4.161936437883555e-05,
|
| 1682 |
+
"loss": 4.0637,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.7604261554913065,
|
| 1687 |
+
"grad_norm": 0.6731399893760681,
|
| 1688 |
+
"learning_rate": 4.14805029709527e-05,
|
| 1689 |
+
"loss": 4.1411,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.7635945978058537,
|
| 1694 |
+
"grad_norm": 0.5146703124046326,
|
| 1695 |
+
"learning_rate": 4.134135279029087e-05,
|
| 1696 |
+
"loss": 4.0401,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.7667630401204009,
|
| 1701 |
+
"grad_norm": 0.5456794500350952,
|
| 1702 |
+
"learning_rate": 4.120191733693927e-05,
|
| 1703 |
+
"loss": 4.07,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.7699314824349479,
|
| 1708 |
+
"grad_norm": 0.44879448413848877,
|
| 1709 |
+
"learning_rate": 4.1062200118162636e-05,
|
| 1710 |
+
"loss": 4.1005,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.7730999247494951,
|
| 1715 |
+
"grad_norm": 0.4907722771167755,
|
| 1716 |
+
"learning_rate": 4.092220464831305e-05,
|
| 1717 |
+
"loss": 4.0598,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.7762683670640421,
|
| 1722 |
+
"grad_norm": 0.6628130674362183,
|
| 1723 |
+
"learning_rate": 4.078193444874156e-05,
|
| 1724 |
+
"loss": 4.1389,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.7794368093785893,
|
| 1729 |
+
"grad_norm": 0.5340617299079895,
|
| 1730 |
+
"learning_rate": 4.064139304770951e-05,
|
| 1731 |
+
"loss": 4.0404,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.7826052516931363,
|
| 1736 |
+
"grad_norm": 0.4721713066101074,
|
| 1737 |
+
"learning_rate": 4.0500583980299944e-05,
|
| 1738 |
+
"loss": 4.1285,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.7857736940076835,
|
| 1743 |
+
"grad_norm": 0.503601610660553,
|
| 1744 |
+
"learning_rate": 4.035951078832855e-05,
|
| 1745 |
+
"loss": 4.0764,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.7889421363222305,
|
| 1750 |
+
"grad_norm": 0.49444159865379333,
|
| 1751 |
+
"learning_rate": 4.021817702025462e-05,
|
| 1752 |
+
"loss": 4.0587,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.7921105786367777,
|
| 1757 |
+
"grad_norm": 0.6992756724357605,
|
| 1758 |
+
"learning_rate": 4.007658623109186e-05,
|
| 1759 |
+
"loss": 4.1218,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.7952790209513249,
|
| 1764 |
+
"grad_norm": 0.4647935926914215,
|
| 1765 |
+
"learning_rate": 3.993474198231885e-05,
|
| 1766 |
+
"loss": 4.0378,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.7984474632658719,
|
| 1771 |
+
"grad_norm": 0.4551107585430145,
|
| 1772 |
+
"learning_rate": 3.979264784178953e-05,
|
| 1773 |
+
"loss": 4.0908,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.8016159055804191,
|
| 1778 |
+
"grad_norm": 0.44869574904441833,
|
| 1779 |
+
"learning_rate": 3.965030738364349e-05,
|
| 1780 |
+
"loss": 4.084,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.8047843478949661,
|
| 1785 |
+
"grad_norm": 0.5781738758087158,
|
| 1786 |
+
"learning_rate": 3.950772418821597e-05,
|
| 1787 |
+
"loss": 4.0526,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.8079527902095133,
|
| 1792 |
+
"grad_norm": 0.6882890462875366,
|
| 1793 |
+
"learning_rate": 3.93649018419479e-05,
|
| 1794 |
+
"loss": 4.1165,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.8111212325240603,
|
| 1799 |
+
"grad_norm": 0.486296147108078,
|
| 1800 |
+
"learning_rate": 3.922184393729563e-05,
|
| 1801 |
+
"loss": 4.0037,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.8142896748386075,
|
| 1806 |
+
"grad_norm": 0.5593641996383667,
|
| 1807 |
+
"learning_rate": 3.907855407264058e-05,
|
| 1808 |
+
"loss": 4.0846,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.8174581171531545,
|
| 1813 |
+
"grad_norm": 0.48063036799430847,
|
| 1814 |
+
"learning_rate": 3.893503585219875e-05,
|
| 1815 |
+
"loss": 4.0851,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.8206265594677017,
|
| 1820 |
+
"grad_norm": 0.5343433618545532,
|
| 1821 |
+
"learning_rate": 3.879129288593004e-05,
|
| 1822 |
+
"loss": 4.049,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.8237950017822488,
|
| 1827 |
+
"grad_norm": 0.7566442489624023,
|
| 1828 |
+
"learning_rate": 3.8647328789447455e-05,
|
| 1829 |
+
"loss": 4.0883,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
}
|
| 1832 |
+
],
|
| 1833 |
+
"logging_steps": 10,
|
| 1834 |
+
"max_steps": 6314,
|
| 1835 |
+
"num_input_tokens_seen": 0,
|
| 1836 |
+
"num_train_epochs": 2,
|
| 1837 |
+
"save_steps": 200,
|
| 1838 |
+
"stateful_callbacks": {
|
| 1839 |
+
"TrainerControl": {
|
| 1840 |
+
"args": {
|
| 1841 |
+
"should_epoch_stop": false,
|
| 1842 |
+
"should_evaluate": false,
|
| 1843 |
+
"should_log": false,
|
| 1844 |
+
"should_save": true,
|
| 1845 |
+
"should_training_stop": false
|
| 1846 |
+
},
|
| 1847 |
+
"attributes": {}
|
| 1848 |
+
}
|
| 1849 |
+
},
|
| 1850 |
+
"total_flos": 9.740740845077791e+17,
|
| 1851 |
+
"train_batch_size": 2,
|
| 1852 |
+
"trial_name": null,
|
| 1853 |
+
"trial_params": null
|
| 1854 |
+
}
|
checkpoint-2600/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00e0cd8677bb78a1aaa274a74c58f38ded65c12637c812615f676450980f579a
|
| 3 |
+
size 5713
|