Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +1643 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-Small-Instruct-2409
|
| 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 0.14.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-Small-Instruct-2409",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": null,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 32,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.25,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 16,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"up_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"down_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"k_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c96c82fa713ed0b990dacbb35eec8d8e3c8d7ae6f8f7bc0ebbbd80751521b1e2
|
| 3 |
+
size 381787464
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca42447e8385a1a5d51e994dbf975f2683154974eb443351aa9fb400cc72cc60
|
| 3 |
+
size 194748052
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0faa2941d3fdfa002419a3762dfa92fa368d5ad5859f4c92f1269920be6c0317
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93f9b636559f0bcd7a1ae12443a45be3d5ce7f0b4b0ea28a9d2b1845f94f5372
|
| 3 |
+
size 1064
|
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": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 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 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59f95e28944c062244741268596badc900df86c7f5ded05088d2da22a7379e06
|
| 3 |
+
size 587583
|
tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1643 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 230,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.004357298474945534,
|
| 13 |
+
"grad_norm": 0.9746105074882507,
|
| 14 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 15 |
+
"loss": 1.7828,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.008714596949891068,
|
| 20 |
+
"grad_norm": 0.9253537654876709,
|
| 21 |
+
"learning_rate": 4.800000000000001e-06,
|
| 22 |
+
"loss": 1.8214,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.013071895424836602,
|
| 27 |
+
"grad_norm": 1.5627340078353882,
|
| 28 |
+
"learning_rate": 7.2e-06,
|
| 29 |
+
"loss": 1.8438,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.017429193899782137,
|
| 34 |
+
"grad_norm": 0.38599923253059387,
|
| 35 |
+
"learning_rate": 9.600000000000001e-06,
|
| 36 |
+
"loss": 1.7347,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.02178649237472767,
|
| 41 |
+
"grad_norm": 0.5854593515396118,
|
| 42 |
+
"learning_rate": 1.2e-05,
|
| 43 |
+
"loss": 1.5746,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.026143790849673203,
|
| 48 |
+
"grad_norm": 0.5655810236930847,
|
| 49 |
+
"learning_rate": 1.44e-05,
|
| 50 |
+
"loss": 1.6704,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.030501089324618737,
|
| 55 |
+
"grad_norm": 0.5204870700836182,
|
| 56 |
+
"learning_rate": 1.6800000000000002e-05,
|
| 57 |
+
"loss": 1.7218,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.034858387799564274,
|
| 62 |
+
"grad_norm": 0.3172350227832794,
|
| 63 |
+
"learning_rate": 1.9200000000000003e-05,
|
| 64 |
+
"loss": 1.7356,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0392156862745098,
|
| 69 |
+
"grad_norm": 0.3486512005329132,
|
| 70 |
+
"learning_rate": 2.16e-05,
|
| 71 |
+
"loss": 1.6989,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.04357298474945534,
|
| 76 |
+
"grad_norm": 0.3535781800746918,
|
| 77 |
+
"learning_rate": 2.4e-05,
|
| 78 |
+
"loss": 1.8387,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04793028322440087,
|
| 83 |
+
"grad_norm": 0.5419184565544128,
|
| 84 |
+
"learning_rate": 2.64e-05,
|
| 85 |
+
"loss": 1.6227,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.05228758169934641,
|
| 90 |
+
"grad_norm": 0.48862531781196594,
|
| 91 |
+
"learning_rate": 2.88e-05,
|
| 92 |
+
"loss": 1.7614,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.05664488017429194,
|
| 97 |
+
"grad_norm": 0.2664097547531128,
|
| 98 |
+
"learning_rate": 3.12e-05,
|
| 99 |
+
"loss": 1.6985,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.06100217864923747,
|
| 104 |
+
"grad_norm": 0.28547024726867676,
|
| 105 |
+
"learning_rate": 3.3600000000000004e-05,
|
| 106 |
+
"loss": 1.6369,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.06535947712418301,
|
| 111 |
+
"grad_norm": 0.7763476371765137,
|
| 112 |
+
"learning_rate": 3.6e-05,
|
| 113 |
+
"loss": 1.6875,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.06971677559912855,
|
| 118 |
+
"grad_norm": 0.40384408831596375,
|
| 119 |
+
"learning_rate": 3.8400000000000005e-05,
|
| 120 |
+
"loss": 1.5499,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.07407407407407407,
|
| 125 |
+
"grad_norm": 0.2866835594177246,
|
| 126 |
+
"learning_rate": 4.08e-05,
|
| 127 |
+
"loss": 1.7804,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.0784313725490196,
|
| 132 |
+
"grad_norm": 0.36669981479644775,
|
| 133 |
+
"learning_rate": 4.32e-05,
|
| 134 |
+
"loss": 1.6886,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.08278867102396514,
|
| 139 |
+
"grad_norm": 0.31070730090141296,
|
| 140 |
+
"learning_rate": 4.5600000000000004e-05,
|
| 141 |
+
"loss": 1.5843,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.08714596949891068,
|
| 146 |
+
"grad_norm": 0.2698839604854584,
|
| 147 |
+
"learning_rate": 4.8e-05,
|
| 148 |
+
"loss": 1.6562,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.0915032679738562,
|
| 153 |
+
"grad_norm": 0.3030396103858948,
|
| 154 |
+
"learning_rate": 5.04e-05,
|
| 155 |
+
"loss": 1.7683,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.09586056644880174,
|
| 160 |
+
"grad_norm": 0.34498634934425354,
|
| 161 |
+
"learning_rate": 5.28e-05,
|
| 162 |
+
"loss": 1.7619,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.10021786492374728,
|
| 167 |
+
"grad_norm": 0.315149188041687,
|
| 168 |
+
"learning_rate": 5.520000000000001e-05,
|
| 169 |
+
"loss": 1.6201,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.10457516339869281,
|
| 174 |
+
"grad_norm": 0.2636476159095764,
|
| 175 |
+
"learning_rate": 5.76e-05,
|
| 176 |
+
"loss": 1.6439,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.10893246187363835,
|
| 181 |
+
"grad_norm": 0.5684914588928223,
|
| 182 |
+
"learning_rate": 6e-05,
|
| 183 |
+
"loss": 1.823,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.11328976034858387,
|
| 188 |
+
"grad_norm": 0.3564894497394562,
|
| 189 |
+
"learning_rate": 5.9999210388787696e-05,
|
| 190 |
+
"loss": 1.6807,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.11764705882352941,
|
| 195 |
+
"grad_norm": 0.3562137186527252,
|
| 196 |
+
"learning_rate": 5.999684159671647e-05,
|
| 197 |
+
"loss": 1.7543,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.12200435729847495,
|
| 202 |
+
"grad_norm": 0.32931092381477356,
|
| 203 |
+
"learning_rate": 5.999289374848134e-05,
|
| 204 |
+
"loss": 1.7032,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.12636165577342048,
|
| 209 |
+
"grad_norm": 0.3593999743461609,
|
| 210 |
+
"learning_rate": 5.998736705189997e-05,
|
| 211 |
+
"loss": 1.5749,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.13071895424836602,
|
| 216 |
+
"grad_norm": 0.31765711307525635,
|
| 217 |
+
"learning_rate": 5.998026179790181e-05,
|
| 218 |
+
"loss": 1.5925,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.13507625272331156,
|
| 223 |
+
"grad_norm": 1.1995874643325806,
|
| 224 |
+
"learning_rate": 5.9971578360512726e-05,
|
| 225 |
+
"loss": 1.6874,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.1394335511982571,
|
| 230 |
+
"grad_norm": 0.3488420248031616,
|
| 231 |
+
"learning_rate": 5.996131719683537e-05,
|
| 232 |
+
"loss": 1.8334,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.1437908496732026,
|
| 237 |
+
"grad_norm": 1.2170417308807373,
|
| 238 |
+
"learning_rate": 5.994947884702506e-05,
|
| 239 |
+
"loss": 1.8111,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.14814814814814814,
|
| 244 |
+
"grad_norm": 7.140843868255615,
|
| 245 |
+
"learning_rate": 5.993606393426137e-05,
|
| 246 |
+
"loss": 1.7542,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.15250544662309368,
|
| 251 |
+
"grad_norm": 6.034117221832275,
|
| 252 |
+
"learning_rate": 5.992107316471536e-05,
|
| 253 |
+
"loss": 1.6763,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1568627450980392,
|
| 258 |
+
"grad_norm": 24.70130729675293,
|
| 259 |
+
"learning_rate": 5.990450732751232e-05,
|
| 260 |
+
"loss": 1.7738,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.16122004357298475,
|
| 265 |
+
"grad_norm": 2.477736234664917,
|
| 266 |
+
"learning_rate": 5.988636729469032e-05,
|
| 267 |
+
"loss": 1.8413,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1655773420479303,
|
| 272 |
+
"grad_norm": 0.5539727210998535,
|
| 273 |
+
"learning_rate": 5.986665402115423e-05,
|
| 274 |
+
"loss": 1.7711,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.16993464052287582,
|
| 279 |
+
"grad_norm": 0.651229739189148,
|
| 280 |
+
"learning_rate": 5.9845368544625516e-05,
|
| 281 |
+
"loss": 1.809,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.17429193899782136,
|
| 286 |
+
"grad_norm": 0.4992523491382599,
|
| 287 |
+
"learning_rate": 5.9822511985587577e-05,
|
| 288 |
+
"loss": 1.9164,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.1786492374727669,
|
| 293 |
+
"grad_norm": 0.5860515832901001,
|
| 294 |
+
"learning_rate": 5.979808554722675e-05,
|
| 295 |
+
"loss": 1.737,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1830065359477124,
|
| 300 |
+
"grad_norm": 0.9775006175041199,
|
| 301 |
+
"learning_rate": 5.977209051536903e-05,
|
| 302 |
+
"loss": 1.6852,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.18736383442265794,
|
| 307 |
+
"grad_norm": 0.5079925656318665,
|
| 308 |
+
"learning_rate": 5.974452825841231e-05,
|
| 309 |
+
"loss": 1.6264,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.19172113289760348,
|
| 314 |
+
"grad_norm": 0.4939415752887726,
|
| 315 |
+
"learning_rate": 5.97154002272544e-05,
|
| 316 |
+
"loss": 1.6138,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.19607843137254902,
|
| 321 |
+
"grad_norm": 0.4919627606868744,
|
| 322 |
+
"learning_rate": 5.968470795521663e-05,
|
| 323 |
+
"loss": 1.6991,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.20043572984749455,
|
| 328 |
+
"grad_norm": 0.9349490404129028,
|
| 329 |
+
"learning_rate": 5.965245305796316e-05,
|
| 330 |
+
"loss": 1.7488,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.2047930283224401,
|
| 335 |
+
"grad_norm": 8.618950843811035,
|
| 336 |
+
"learning_rate": 5.9618637233415866e-05,
|
| 337 |
+
"loss": 1.7847,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.20915032679738563,
|
| 342 |
+
"grad_norm": 0.656200110912323,
|
| 343 |
+
"learning_rate": 5.958326226166505e-05,
|
| 344 |
+
"loss": 1.7535,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.21350762527233116,
|
| 349 |
+
"grad_norm": 0.49261513352394104,
|
| 350 |
+
"learning_rate": 5.954633000487565e-05,
|
| 351 |
+
"loss": 1.6509,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.2178649237472767,
|
| 356 |
+
"grad_norm": 0.7735104560852051,
|
| 357 |
+
"learning_rate": 5.950784240718929e-05,
|
| 358 |
+
"loss": 1.7014,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.2222222222222222,
|
| 363 |
+
"grad_norm": 0.5278734564781189,
|
| 364 |
+
"learning_rate": 5.946780149462187e-05,
|
| 365 |
+
"loss": 1.6646,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.22657952069716775,
|
| 370 |
+
"grad_norm": 10.276693344116211,
|
| 371 |
+
"learning_rate": 5.942620937495696e-05,
|
| 372 |
+
"loss": 1.9713,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.23093681917211328,
|
| 377 |
+
"grad_norm": 0.9025694727897644,
|
| 378 |
+
"learning_rate": 5.938306823763481e-05,
|
| 379 |
+
"loss": 1.7381,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.23529411764705882,
|
| 384 |
+
"grad_norm": 0.6549501419067383,
|
| 385 |
+
"learning_rate": 5.933838035363717e-05,
|
| 386 |
+
"loss": 1.5728,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.23965141612200436,
|
| 391 |
+
"grad_norm": 0.6484580039978027,
|
| 392 |
+
"learning_rate": 5.9292148075367635e-05,
|
| 393 |
+
"loss": 1.7029,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.2440087145969499,
|
| 398 |
+
"grad_norm": 0.5284441113471985,
|
| 399 |
+
"learning_rate": 5.924437383652789e-05,
|
| 400 |
+
"loss": 1.6064,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.24836601307189543,
|
| 405 |
+
"grad_norm": 0.4835830330848694,
|
| 406 |
+
"learning_rate": 5.9195060151989595e-05,
|
| 407 |
+
"loss": 1.6933,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.25272331154684097,
|
| 412 |
+
"grad_norm": 0.4144735336303711,
|
| 413 |
+
"learning_rate": 5.914420961766194e-05,
|
| 414 |
+
"loss": 1.7435,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.2570806100217865,
|
| 419 |
+
"grad_norm": 0.41090619564056396,
|
| 420 |
+
"learning_rate": 5.909182491035509e-05,
|
| 421 |
+
"loss": 1.6487,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.26143790849673204,
|
| 426 |
+
"grad_norm": 0.35188132524490356,
|
| 427 |
+
"learning_rate": 5.9037908787639174e-05,
|
| 428 |
+
"loss": 1.7431,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.2657952069716776,
|
| 433 |
+
"grad_norm": 0.5362684726715088,
|
| 434 |
+
"learning_rate": 5.898246408769921e-05,
|
| 435 |
+
"loss": 1.7848,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.2701525054466231,
|
| 440 |
+
"grad_norm": 0.37840691208839417,
|
| 441 |
+
"learning_rate": 5.892549372918564e-05,
|
| 442 |
+
"loss": 1.807,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.27450980392156865,
|
| 447 |
+
"grad_norm": 0.6966099143028259,
|
| 448 |
+
"learning_rate": 5.8867000711060704e-05,
|
| 449 |
+
"loss": 1.6143,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2788671023965142,
|
| 454 |
+
"grad_norm": 1.4057034254074097,
|
| 455 |
+
"learning_rate": 5.8806988112440624e-05,
|
| 456 |
+
"loss": 1.5769,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.28322440087145967,
|
| 461 |
+
"grad_norm": 0.38457629084587097,
|
| 462 |
+
"learning_rate": 5.8745459092433436e-05,
|
| 463 |
+
"loss": 1.6125,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2875816993464052,
|
| 468 |
+
"grad_norm": 0.3964170813560486,
|
| 469 |
+
"learning_rate": 5.868241688997275e-05,
|
| 470 |
+
"loss": 1.9211,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.29193899782135074,
|
| 475 |
+
"grad_norm": 0.4357544183731079,
|
| 476 |
+
"learning_rate": 5.861786482364723e-05,
|
| 477 |
+
"loss": 1.7145,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.2962962962962963,
|
| 482 |
+
"grad_norm": 0.4696052670478821,
|
| 483 |
+
"learning_rate": 5.8551806291525885e-05,
|
| 484 |
+
"loss": 1.5768,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.3006535947712418,
|
| 489 |
+
"grad_norm": 0.5432698130607605,
|
| 490 |
+
"learning_rate": 5.848424477097924e-05,
|
| 491 |
+
"loss": 1.7934,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.30501089324618735,
|
| 496 |
+
"grad_norm": 0.44644972681999207,
|
| 497 |
+
"learning_rate": 5.8415183818496234e-05,
|
| 498 |
+
"loss": 1.7114,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.3093681917211329,
|
| 503 |
+
"grad_norm": 0.5297689437866211,
|
| 504 |
+
"learning_rate": 5.8344627069497025e-05,
|
| 505 |
+
"loss": 1.6654,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.3137254901960784,
|
| 510 |
+
"grad_norm": 0.5777753591537476,
|
| 511 |
+
"learning_rate": 5.827257823814162e-05,
|
| 512 |
+
"loss": 1.7446,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.31808278867102396,
|
| 517 |
+
"grad_norm": 5.469757556915283,
|
| 518 |
+
"learning_rate": 5.819904111713436e-05,
|
| 519 |
+
"loss": 1.7395,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.3224400871459695,
|
| 524 |
+
"grad_norm": 0.5288973450660706,
|
| 525 |
+
"learning_rate": 5.812401957752426e-05,
|
| 526 |
+
"loss": 1.8596,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.32679738562091504,
|
| 531 |
+
"grad_norm": 1.6414694786071777,
|
| 532 |
+
"learning_rate": 5.804751756850124e-05,
|
| 533 |
+
"loss": 1.6706,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.3311546840958606,
|
| 538 |
+
"grad_norm": 0.9940863847732544,
|
| 539 |
+
"learning_rate": 5.7969539117188256e-05,
|
| 540 |
+
"loss": 1.7504,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.3355119825708061,
|
| 545 |
+
"grad_norm": 4.836872577667236,
|
| 546 |
+
"learning_rate": 5.789008832842924e-05,
|
| 547 |
+
"loss": 1.8491,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.33986928104575165,
|
| 552 |
+
"grad_norm": 1.7528856992721558,
|
| 553 |
+
"learning_rate": 5.780916938457314e-05,
|
| 554 |
+
"loss": 1.8635,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.3442265795206972,
|
| 559 |
+
"grad_norm": 1.1119537353515625,
|
| 560 |
+
"learning_rate": 5.772678654525362e-05,
|
| 561 |
+
"loss": 1.7444,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.3485838779956427,
|
| 566 |
+
"grad_norm": 1.9335803985595703,
|
| 567 |
+
"learning_rate": 5.764294414716494e-05,
|
| 568 |
+
"loss": 1.6888,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.35294117647058826,
|
| 573 |
+
"grad_norm": 2.479970932006836,
|
| 574 |
+
"learning_rate": 5.755764660383358e-05,
|
| 575 |
+
"loss": 1.5989,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.3572984749455338,
|
| 580 |
+
"grad_norm": 0.6857799887657166,
|
| 581 |
+
"learning_rate": 5.7470898405386005e-05,
|
| 582 |
+
"loss": 1.7211,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.3616557734204793,
|
| 587 |
+
"grad_norm": 0.5701134204864502,
|
| 588 |
+
"learning_rate": 5.738270411831222e-05,
|
| 589 |
+
"loss": 1.5853,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.3660130718954248,
|
| 594 |
+
"grad_norm": 1.7818999290466309,
|
| 595 |
+
"learning_rate": 5.729306838522541e-05,
|
| 596 |
+
"loss": 1.6756,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.37037037037037035,
|
| 601 |
+
"grad_norm": 0.6445415019989014,
|
| 602 |
+
"learning_rate": 5.720199592461757e-05,
|
| 603 |
+
"loss": 1.7658,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.3747276688453159,
|
| 608 |
+
"grad_norm": 0.7761105298995972,
|
| 609 |
+
"learning_rate": 5.7109491530611106e-05,
|
| 610 |
+
"loss": 1.6389,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.3790849673202614,
|
| 615 |
+
"grad_norm": 0.40940380096435547,
|
| 616 |
+
"learning_rate": 5.701556007270647e-05,
|
| 617 |
+
"loss": 1.6816,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.38344226579520696,
|
| 622 |
+
"grad_norm": 0.640964925289154,
|
| 623 |
+
"learning_rate": 5.692020649552581e-05,
|
| 624 |
+
"loss": 1.5405,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.3877995642701525,
|
| 629 |
+
"grad_norm": 0.5489770174026489,
|
| 630 |
+
"learning_rate": 5.6823435818552696e-05,
|
| 631 |
+
"loss": 1.7949,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.39215686274509803,
|
| 636 |
+
"grad_norm": 0.7703227400779724,
|
| 637 |
+
"learning_rate": 5.6725253135867915e-05,
|
| 638 |
+
"loss": 1.7931,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.39651416122004357,
|
| 643 |
+
"grad_norm": 0.5832772254943848,
|
| 644 |
+
"learning_rate": 5.662566361588127e-05,
|
| 645 |
+
"loss": 1.8679,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.4008714596949891,
|
| 650 |
+
"grad_norm": 0.8693870902061462,
|
| 651 |
+
"learning_rate": 5.652467250105952e-05,
|
| 652 |
+
"loss": 1.6827,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.40522875816993464,
|
| 657 |
+
"grad_norm": 2.1690566539764404,
|
| 658 |
+
"learning_rate": 5.642228510765046e-05,
|
| 659 |
+
"loss": 1.7037,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.4095860566448802,
|
| 664 |
+
"grad_norm": 1.1100988388061523,
|
| 665 |
+
"learning_rate": 5.6318506825403015e-05,
|
| 666 |
+
"loss": 1.6876,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.4139433551198257,
|
| 671 |
+
"grad_norm": 10.220698356628418,
|
| 672 |
+
"learning_rate": 5.6213343117283506e-05,
|
| 673 |
+
"loss": 1.8567,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.41830065359477125,
|
| 678 |
+
"grad_norm": 4.02601432800293,
|
| 679 |
+
"learning_rate": 5.610679951918817e-05,
|
| 680 |
+
"loss": 1.7431,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.4226579520697168,
|
| 685 |
+
"grad_norm": 9.665276527404785,
|
| 686 |
+
"learning_rate": 5.5998881639651626e-05,
|
| 687 |
+
"loss": 1.6413,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.42701525054466233,
|
| 692 |
+
"grad_norm": 16.3509578704834,
|
| 693 |
+
"learning_rate": 5.588959515955173e-05,
|
| 694 |
+
"loss": 2.2493,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.43137254901960786,
|
| 699 |
+
"grad_norm": 24.08732795715332,
|
| 700 |
+
"learning_rate": 5.577894583181048e-05,
|
| 701 |
+
"loss": 2.2252,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.4357298474945534,
|
| 706 |
+
"grad_norm": 17.57210350036621,
|
| 707 |
+
"learning_rate": 5.566693948109122e-05,
|
| 708 |
+
"loss": 1.7175,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.4400871459694989,
|
| 713 |
+
"grad_norm": 43.53101348876953,
|
| 714 |
+
"learning_rate": 5.5553582003491944e-05,
|
| 715 |
+
"loss": 1.9579,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.4444444444444444,
|
| 720 |
+
"grad_norm": 27.57504653930664,
|
| 721 |
+
"learning_rate": 5.543887936623503e-05,
|
| 722 |
+
"loss": 1.9186,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.44880174291938996,
|
| 727 |
+
"grad_norm": 18.363325119018555,
|
| 728 |
+
"learning_rate": 5.532283760735302e-05,
|
| 729 |
+
"loss": 1.8096,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.4531590413943355,
|
| 734 |
+
"grad_norm": 27.843307495117188,
|
| 735 |
+
"learning_rate": 5.520546283537086e-05,
|
| 736 |
+
"loss": 1.8707,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.45751633986928103,
|
| 741 |
+
"grad_norm": 11.314703941345215,
|
| 742 |
+
"learning_rate": 5.508676122898427e-05,
|
| 743 |
+
"loss": 1.5912,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.46187363834422657,
|
| 748 |
+
"grad_norm": 9.792496681213379,
|
| 749 |
+
"learning_rate": 5.496673903673455e-05,
|
| 750 |
+
"loss": 1.6825,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.4662309368191721,
|
| 755 |
+
"grad_norm": 11.959925651550293,
|
| 756 |
+
"learning_rate": 5.484540257667961e-05,
|
| 757 |
+
"loss": 1.7789,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.47058823529411764,
|
| 762 |
+
"grad_norm": 2.4276187419891357,
|
| 763 |
+
"learning_rate": 5.47227582360614e-05,
|
| 764 |
+
"loss": 1.6628,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.4749455337690632,
|
| 769 |
+
"grad_norm": 2.457439661026001,
|
| 770 |
+
"learning_rate": 5.459881247096969e-05,
|
| 771 |
+
"loss": 1.6083,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.4793028322440087,
|
| 776 |
+
"grad_norm": 19.251781463623047,
|
| 777 |
+
"learning_rate": 5.447357180600219e-05,
|
| 778 |
+
"loss": 1.6644,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.48366013071895425,
|
| 783 |
+
"grad_norm": 1.5374093055725098,
|
| 784 |
+
"learning_rate": 5.434704283392115e-05,
|
| 785 |
+
"loss": 1.6576,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.4880174291938998,
|
| 790 |
+
"grad_norm": 1.1958122253417969,
|
| 791 |
+
"learning_rate": 5.421923221530622e-05,
|
| 792 |
+
"loss": 1.5076,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.4923747276688453,
|
| 797 |
+
"grad_norm": 1.085802435874939,
|
| 798 |
+
"learning_rate": 5.409014667820389e-05,
|
| 799 |
+
"loss": 1.7292,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.49673202614379086,
|
| 804 |
+
"grad_norm": 1.2091395854949951,
|
| 805 |
+
"learning_rate": 5.395979301777334e-05,
|
| 806 |
+
"loss": 1.5753,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.5010893246187363,
|
| 811 |
+
"grad_norm": 2.773833990097046,
|
| 812 |
+
"learning_rate": 5.3828178095928684e-05,
|
| 813 |
+
"loss": 1.7763,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.5054466230936819,
|
| 818 |
+
"grad_norm": 0.7476174831390381,
|
| 819 |
+
"learning_rate": 5.369530884097779e-05,
|
| 820 |
+
"loss": 1.7815,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.5098039215686274,
|
| 825 |
+
"grad_norm": 0.7140160202980042,
|
| 826 |
+
"learning_rate": 5.356119224725757e-05,
|
| 827 |
+
"loss": 1.7438,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.514161220043573,
|
| 832 |
+
"grad_norm": 0.6035992503166199,
|
| 833 |
+
"learning_rate": 5.3425835374765745e-05,
|
| 834 |
+
"loss": 1.7846,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.5185185185185185,
|
| 839 |
+
"grad_norm": 3.483454465866089,
|
| 840 |
+
"learning_rate": 5.328924534878927e-05,
|
| 841 |
+
"loss": 1.8446,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.5228758169934641,
|
| 846 |
+
"grad_norm": 0.5726216435432434,
|
| 847 |
+
"learning_rate": 5.3151429359529226e-05,
|
| 848 |
+
"loss": 1.692,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.5272331154684096,
|
| 853 |
+
"grad_norm": 0.7607144117355347,
|
| 854 |
+
"learning_rate": 5.3012394661722275e-05,
|
| 855 |
+
"loss": 1.7304,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.5315904139433552,
|
| 860 |
+
"grad_norm": 0.586825966835022,
|
| 861 |
+
"learning_rate": 5.2872148574258864e-05,
|
| 862 |
+
"loss": 1.7993,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.5359477124183006,
|
| 867 |
+
"grad_norm": 0.4952510893344879,
|
| 868 |
+
"learning_rate": 5.273069847979786e-05,
|
| 869 |
+
"loss": 1.6976,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.5403050108932462,
|
| 874 |
+
"grad_norm": 0.5482230186462402,
|
| 875 |
+
"learning_rate": 5.258805182437795e-05,
|
| 876 |
+
"loss": 1.6702,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.5446623093681917,
|
| 881 |
+
"grad_norm": 1.4653637409210205,
|
| 882 |
+
"learning_rate": 5.244421611702573e-05,
|
| 883 |
+
"loss": 1.7064,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.5490196078431373,
|
| 888 |
+
"grad_norm": 0.7224717140197754,
|
| 889 |
+
"learning_rate": 5.229919892936033e-05,
|
| 890 |
+
"loss": 1.6133,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.5533769063180828,
|
| 895 |
+
"grad_norm": 2.9934468269348145,
|
| 896 |
+
"learning_rate": 5.2153007895194915e-05,
|
| 897 |
+
"loss": 1.8177,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.5577342047930284,
|
| 902 |
+
"grad_norm": 0.53426593542099,
|
| 903 |
+
"learning_rate": 5.2005650710134804e-05,
|
| 904 |
+
"loss": 1.775,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.5620915032679739,
|
| 909 |
+
"grad_norm": 0.5842443108558655,
|
| 910 |
+
"learning_rate": 5.185713513117236e-05,
|
| 911 |
+
"loss": 1.7364,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.5664488017429193,
|
| 916 |
+
"grad_norm": 0.7634817361831665,
|
| 917 |
+
"learning_rate": 5.1707468976278674e-05,
|
| 918 |
+
"loss": 1.6766,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.5708061002178649,
|
| 923 |
+
"grad_norm": 2.6095964908599854,
|
| 924 |
+
"learning_rate": 5.1556660123992014e-05,
|
| 925 |
+
"loss": 1.5793,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.5751633986928104,
|
| 930 |
+
"grad_norm": 0.6185954809188843,
|
| 931 |
+
"learning_rate": 5.140471651300309e-05,
|
| 932 |
+
"loss": 1.7295,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.579520697167756,
|
| 937 |
+
"grad_norm": 0.7229522466659546,
|
| 938 |
+
"learning_rate": 5.125164614173716e-05,
|
| 939 |
+
"loss": 1.6844,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.5838779956427015,
|
| 944 |
+
"grad_norm": 1.0191963911056519,
|
| 945 |
+
"learning_rate": 5.109745706793299e-05,
|
| 946 |
+
"loss": 1.6971,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.5882352941176471,
|
| 951 |
+
"grad_norm": 7.9863972663879395,
|
| 952 |
+
"learning_rate": 5.094215740821867e-05,
|
| 953 |
+
"loss": 1.6789,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.5925925925925926,
|
| 958 |
+
"grad_norm": 0.5257764458656311,
|
| 959 |
+
"learning_rate": 5.07857553376844e-05,
|
| 960 |
+
"loss": 1.6463,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.5969498910675382,
|
| 965 |
+
"grad_norm": 0.6847944855690002,
|
| 966 |
+
"learning_rate": 5.062825908945204e-05,
|
| 967 |
+
"loss": 1.7736,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.6013071895424836,
|
| 972 |
+
"grad_norm": 0.46256768703460693,
|
| 973 |
+
"learning_rate": 5.0469676954241857e-05,
|
| 974 |
+
"loss": 1.721,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.6056644880174292,
|
| 979 |
+
"grad_norm": 0.5772983431816101,
|
| 980 |
+
"learning_rate": 5.0310017279935964e-05,
|
| 981 |
+
"loss": 1.8956,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.6100217864923747,
|
| 986 |
+
"grad_norm": 1.1113687753677368,
|
| 987 |
+
"learning_rate": 5.0149288471138975e-05,
|
| 988 |
+
"loss": 1.8724,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.6143790849673203,
|
| 993 |
+
"grad_norm": 1.8465428352355957,
|
| 994 |
+
"learning_rate": 4.9987498988735525e-05,
|
| 995 |
+
"loss": 1.6231,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.6187363834422658,
|
| 1000 |
+
"grad_norm": 0.6225913166999817,
|
| 1001 |
+
"learning_rate": 4.982465734944489e-05,
|
| 1002 |
+
"loss": 1.7372,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.6230936819172114,
|
| 1007 |
+
"grad_norm": 0.6797170042991638,
|
| 1008 |
+
"learning_rate": 4.9660772125372715e-05,
|
| 1009 |
+
"loss": 1.6512,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.6274509803921569,
|
| 1014 |
+
"grad_norm": 0.7226108312606812,
|
| 1015 |
+
"learning_rate": 4.949585194355966e-05,
|
| 1016 |
+
"loss": 1.7288,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.6318082788671024,
|
| 1021 |
+
"grad_norm": 2.4343645572662354,
|
| 1022 |
+
"learning_rate": 4.9329905485527394e-05,
|
| 1023 |
+
"loss": 1.5985,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.6361655773420479,
|
| 1028 |
+
"grad_norm": 0.8588735461235046,
|
| 1029 |
+
"learning_rate": 4.916294148682151e-05,
|
| 1030 |
+
"loss": 1.7933,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.6405228758169934,
|
| 1035 |
+
"grad_norm": 0.9162130951881409,
|
| 1036 |
+
"learning_rate": 4.899496873655169e-05,
|
| 1037 |
+
"loss": 1.7511,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.644880174291939,
|
| 1042 |
+
"grad_norm": 1.1275595426559448,
|
| 1043 |
+
"learning_rate": 4.882599607692908e-05,
|
| 1044 |
+
"loss": 1.7821,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.6492374727668845,
|
| 1049 |
+
"grad_norm": 0.596320390701294,
|
| 1050 |
+
"learning_rate": 4.865603240280079e-05,
|
| 1051 |
+
"loss": 1.4973,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.6535947712418301,
|
| 1056 |
+
"grad_norm": 2.232231855392456,
|
| 1057 |
+
"learning_rate": 4.8485086661181656e-05,
|
| 1058 |
+
"loss": 1.6625,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.6579520697167756,
|
| 1063 |
+
"grad_norm": 3.6543140411376953,
|
| 1064 |
+
"learning_rate": 4.8313167850783304e-05,
|
| 1065 |
+
"loss": 1.7756,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.6623093681917211,
|
| 1070 |
+
"grad_norm": 32.78754425048828,
|
| 1071 |
+
"learning_rate": 4.8140285021540423e-05,
|
| 1072 |
+
"loss": 1.7519,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.6666666666666666,
|
| 1077 |
+
"grad_norm": 10.278705596923828,
|
| 1078 |
+
"learning_rate": 4.796644727413438e-05,
|
| 1079 |
+
"loss": 1.7621,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.6710239651416122,
|
| 1084 |
+
"grad_norm": 6.011966705322266,
|
| 1085 |
+
"learning_rate": 4.779166375951412e-05,
|
| 1086 |
+
"loss": 1.7506,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.6753812636165577,
|
| 1091 |
+
"grad_norm": 8.796587944030762,
|
| 1092 |
+
"learning_rate": 4.7615943678414515e-05,
|
| 1093 |
+
"loss": 1.8206,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.6797385620915033,
|
| 1098 |
+
"grad_norm": 9.715092658996582,
|
| 1099 |
+
"learning_rate": 4.743929628087197e-05,
|
| 1100 |
+
"loss": 1.736,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.6840958605664488,
|
| 1105 |
+
"grad_norm": 20.890012741088867,
|
| 1106 |
+
"learning_rate": 4.726173086573755e-05,
|
| 1107 |
+
"loss": 1.792,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.6884531590413944,
|
| 1112 |
+
"grad_norm": 6.689200401306152,
|
| 1113 |
+
"learning_rate": 4.708325678018744e-05,
|
| 1114 |
+
"loss": 1.8754,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.6928104575163399,
|
| 1119 |
+
"grad_norm": 10.521119117736816,
|
| 1120 |
+
"learning_rate": 4.6903883419230883e-05,
|
| 1121 |
+
"loss": 1.6421,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.6971677559912854,
|
| 1126 |
+
"grad_norm": 2.2947447299957275,
|
| 1127 |
+
"learning_rate": 4.67236202252157e-05,
|
| 1128 |
+
"loss": 1.7782,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.7015250544662309,
|
| 1133 |
+
"grad_norm": 2.0073139667510986,
|
| 1134 |
+
"learning_rate": 4.6542476687331165e-05,
|
| 1135 |
+
"loss": 1.7282,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.7058823529411765,
|
| 1140 |
+
"grad_norm": 2.2821898460388184,
|
| 1141 |
+
"learning_rate": 4.636046234110852e-05,
|
| 1142 |
+
"loss": 1.7421,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.710239651416122,
|
| 1147 |
+
"grad_norm": 0.8621974587440491,
|
| 1148 |
+
"learning_rate": 4.6177586767918984e-05,
|
| 1149 |
+
"loss": 1.7407,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.7145969498910676,
|
| 1154 |
+
"grad_norm": 3.2683534622192383,
|
| 1155 |
+
"learning_rate": 4.599385959446945e-05,
|
| 1156 |
+
"loss": 1.8106,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.7189542483660131,
|
| 1161 |
+
"grad_norm": 2.4297866821289062,
|
| 1162 |
+
"learning_rate": 4.5809290492295645e-05,
|
| 1163 |
+
"loss": 1.5172,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.7233115468409586,
|
| 1168 |
+
"grad_norm": 3.033637046813965,
|
| 1169 |
+
"learning_rate": 4.5623889177253074e-05,
|
| 1170 |
+
"loss": 1.7526,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.7276688453159041,
|
| 1175 |
+
"grad_norm": 1.2864795923233032,
|
| 1176 |
+
"learning_rate": 4.5437665409005564e-05,
|
| 1177 |
+
"loss": 1.7886,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.7320261437908496,
|
| 1182 |
+
"grad_norm": 2.133450984954834,
|
| 1183 |
+
"learning_rate": 4.525062899051145e-05,
|
| 1184 |
+
"loss": 1.7397,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.7363834422657952,
|
| 1189 |
+
"grad_norm": 0.7829226851463318,
|
| 1190 |
+
"learning_rate": 4.506278976750763e-05,
|
| 1191 |
+
"loss": 1.7315,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.7407407407407407,
|
| 1196 |
+
"grad_norm": 0.8621643781661987,
|
| 1197 |
+
"learning_rate": 4.487415762799118e-05,
|
| 1198 |
+
"loss": 1.7408,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.7450980392156863,
|
| 1203 |
+
"grad_norm": 0.6500158905982971,
|
| 1204 |
+
"learning_rate": 4.468474250169896e-05,
|
| 1205 |
+
"loss": 1.7465,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.7494553376906318,
|
| 1210 |
+
"grad_norm": 0.5809956192970276,
|
| 1211 |
+
"learning_rate": 4.4494554359584785e-05,
|
| 1212 |
+
"loss": 1.7293,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.7538126361655774,
|
| 1217 |
+
"grad_norm": 0.7333821058273315,
|
| 1218 |
+
"learning_rate": 4.430360321329463e-05,
|
| 1219 |
+
"loss": 1.727,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.7581699346405228,
|
| 1224 |
+
"grad_norm": 0.5068430304527283,
|
| 1225 |
+
"learning_rate": 4.411189911463955e-05,
|
| 1226 |
+
"loss": 1.7167,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.7625272331154684,
|
| 1231 |
+
"grad_norm": 0.6892985701560974,
|
| 1232 |
+
"learning_rate": 4.3919452155066614e-05,
|
| 1233 |
+
"loss": 1.5829,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.7668845315904139,
|
| 1238 |
+
"grad_norm": 1.0960310697555542,
|
| 1239 |
+
"learning_rate": 4.372627246512761e-05,
|
| 1240 |
+
"loss": 1.7752,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.7712418300653595,
|
| 1245 |
+
"grad_norm": 0.9808456897735596,
|
| 1246 |
+
"learning_rate": 4.3532370213945826e-05,
|
| 1247 |
+
"loss": 1.6206,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.775599128540305,
|
| 1252 |
+
"grad_norm": 0.9465530514717102,
|
| 1253 |
+
"learning_rate": 4.333775560868071e-05,
|
| 1254 |
+
"loss": 1.7664,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.7799564270152506,
|
| 1259 |
+
"grad_norm": 2.3225557804107666,
|
| 1260 |
+
"learning_rate": 4.3142438893990536e-05,
|
| 1261 |
+
"loss": 1.7564,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.7843137254901961,
|
| 1266 |
+
"grad_norm": 0.833987295627594,
|
| 1267 |
+
"learning_rate": 4.294643035149318e-05,
|
| 1268 |
+
"loss": 1.7599,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.7886710239651417,
|
| 1273 |
+
"grad_norm": 7.097892761230469,
|
| 1274 |
+
"learning_rate": 4.274974029922482e-05,
|
| 1275 |
+
"loss": 1.7297,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.7930283224400871,
|
| 1280 |
+
"grad_norm": 1.9574705362319946,
|
| 1281 |
+
"learning_rate": 4.255237909109685e-05,
|
| 1282 |
+
"loss": 1.6733,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.7973856209150327,
|
| 1287 |
+
"grad_norm": 5.98021125793457,
|
| 1288 |
+
"learning_rate": 4.235435711635076e-05,
|
| 1289 |
+
"loss": 1.7801,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.8017429193899782,
|
| 1294 |
+
"grad_norm": 1.4386473894119263,
|
| 1295 |
+
"learning_rate": 4.2155684799011346e-05,
|
| 1296 |
+
"loss": 1.7036,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.8061002178649237,
|
| 1301 |
+
"grad_norm": 1.5464740991592407,
|
| 1302 |
+
"learning_rate": 4.195637259733789e-05,
|
| 1303 |
+
"loss": 1.7301,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.8104575163398693,
|
| 1308 |
+
"grad_norm": 2.3751494884490967,
|
| 1309 |
+
"learning_rate": 4.1756431003273664e-05,
|
| 1310 |
+
"loss": 1.7411,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.8148148148148148,
|
| 1315 |
+
"grad_norm": 0.7723326086997986,
|
| 1316 |
+
"learning_rate": 4.155587054189365e-05,
|
| 1317 |
+
"loss": 1.6975,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.8191721132897604,
|
| 1322 |
+
"grad_norm": 0.8427643775939941,
|
| 1323 |
+
"learning_rate": 4.135470177085042e-05,
|
| 1324 |
+
"loss": 1.7452,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.8235294117647058,
|
| 1329 |
+
"grad_norm": 0.6999509930610657,
|
| 1330 |
+
"learning_rate": 4.11529352798185e-05,
|
| 1331 |
+
"loss": 1.8235,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.8278867102396514,
|
| 1336 |
+
"grad_norm": 0.6350328326225281,
|
| 1337 |
+
"learning_rate": 4.0950581689936744e-05,
|
| 1338 |
+
"loss": 1.8013,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.8322440087145969,
|
| 1343 |
+
"grad_norm": 0.5478256344795227,
|
| 1344 |
+
"learning_rate": 4.074765165324942e-05,
|
| 1345 |
+
"loss": 1.8239,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.8366013071895425,
|
| 1350 |
+
"grad_norm": 0.7619976997375488,
|
| 1351 |
+
"learning_rate": 4.0544155852145334e-05,
|
| 1352 |
+
"loss": 1.6571,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.840958605664488,
|
| 1357 |
+
"grad_norm": 0.6814029216766357,
|
| 1358 |
+
"learning_rate": 4.034010499879557e-05,
|
| 1359 |
+
"loss": 1.8015,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.8453159041394336,
|
| 1364 |
+
"grad_norm": 1.5520319938659668,
|
| 1365 |
+
"learning_rate": 4.0135509834589566e-05,
|
| 1366 |
+
"loss": 1.7239,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.8496732026143791,
|
| 1371 |
+
"grad_norm": 0.7724117040634155,
|
| 1372 |
+
"learning_rate": 3.9930381129569696e-05,
|
| 1373 |
+
"loss": 1.6609,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.8540305010893247,
|
| 1378 |
+
"grad_norm": 1.1484628915786743,
|
| 1379 |
+
"learning_rate": 3.972472968186434e-05,
|
| 1380 |
+
"loss": 1.7557,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.8583877995642701,
|
| 1385 |
+
"grad_norm": 1.2805622816085815,
|
| 1386 |
+
"learning_rate": 3.95185663171194e-05,
|
| 1387 |
+
"loss": 1.7035,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.8627450980392157,
|
| 1392 |
+
"grad_norm": 0.890356183052063,
|
| 1393 |
+
"learning_rate": 3.931190188792853e-05,
|
| 1394 |
+
"loss": 1.6805,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.8671023965141612,
|
| 1399 |
+
"grad_norm": 1.8623896837234497,
|
| 1400 |
+
"learning_rate": 3.910474727326175e-05,
|
| 1401 |
+
"loss": 1.6048,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.8714596949891068,
|
| 1406 |
+
"grad_norm": 1.6572378873825073,
|
| 1407 |
+
"learning_rate": 3.8897113377892805e-05,
|
| 1408 |
+
"loss": 1.6146,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.8758169934640523,
|
| 1413 |
+
"grad_norm": 0.8090646862983704,
|
| 1414 |
+
"learning_rate": 3.8689011131825186e-05,
|
| 1415 |
+
"loss": 1.6052,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.8801742919389978,
|
| 1420 |
+
"grad_norm": 1.0492998361587524,
|
| 1421 |
+
"learning_rate": 3.8480451489716636e-05,
|
| 1422 |
+
"loss": 1.8196,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.8845315904139434,
|
| 1427 |
+
"grad_norm": 0.5649470686912537,
|
| 1428 |
+
"learning_rate": 3.827144543030266e-05,
|
| 1429 |
+
"loss": 1.544,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.8888888888888888,
|
| 1434 |
+
"grad_norm": 0.9283618330955505,
|
| 1435 |
+
"learning_rate": 3.806200395581841e-05,
|
| 1436 |
+
"loss": 1.6018,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.8932461873638344,
|
| 1441 |
+
"grad_norm": 1.2240904569625854,
|
| 1442 |
+
"learning_rate": 3.785213809141969e-05,
|
| 1443 |
+
"loss": 1.8455,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.8976034858387799,
|
| 1448 |
+
"grad_norm": 1.7425321340560913,
|
| 1449 |
+
"learning_rate": 3.764185888460246e-05,
|
| 1450 |
+
"loss": 1.9087,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.9019607843137255,
|
| 1455 |
+
"grad_norm": 6.965508460998535,
|
| 1456 |
+
"learning_rate": 3.743117740462135e-05,
|
| 1457 |
+
"loss": 1.8282,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.906318082788671,
|
| 1462 |
+
"grad_norm": 1.315513253211975,
|
| 1463 |
+
"learning_rate": 3.722010474190695e-05,
|
| 1464 |
+
"loss": 1.8563,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.9106753812636166,
|
| 1469 |
+
"grad_norm": 0.5694398283958435,
|
| 1470 |
+
"learning_rate": 3.700865200748199e-05,
|
| 1471 |
+
"loss": 1.7312,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.9150326797385621,
|
| 1476 |
+
"grad_norm": 1.3388159275054932,
|
| 1477 |
+
"learning_rate": 3.679683033237648e-05,
|
| 1478 |
+
"loss": 1.7612,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.9193899782135077,
|
| 1483 |
+
"grad_norm": 1.2813358306884766,
|
| 1484 |
+
"learning_rate": 3.658465086704174e-05,
|
| 1485 |
+
"loss": 1.6871,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.9237472766884531,
|
| 1490 |
+
"grad_norm": 0.9567870497703552,
|
| 1491 |
+
"learning_rate": 3.6372124780763396e-05,
|
| 1492 |
+
"loss": 1.731,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.9281045751633987,
|
| 1497 |
+
"grad_norm": 1.2562271356582642,
|
| 1498 |
+
"learning_rate": 3.6159263261073515e-05,
|
| 1499 |
+
"loss": 1.6309,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.9324618736383442,
|
| 1504 |
+
"grad_norm": 1.0945274829864502,
|
| 1505 |
+
"learning_rate": 3.59460775131616e-05,
|
| 1506 |
+
"loss": 1.8533,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.9368191721132898,
|
| 1511 |
+
"grad_norm": 0.546955406665802,
|
| 1512 |
+
"learning_rate": 3.5732578759284776e-05,
|
| 1513 |
+
"loss": 1.6818,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.9411764705882353,
|
| 1518 |
+
"grad_norm": 0.6648678183555603,
|
| 1519 |
+
"learning_rate": 3.551877823817702e-05,
|
| 1520 |
+
"loss": 1.8012,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.9455337690631809,
|
| 1525 |
+
"grad_norm": 0.9706017374992371,
|
| 1526 |
+
"learning_rate": 3.53046872044576e-05,
|
| 1527 |
+
"loss": 1.766,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.9498910675381264,
|
| 1532 |
+
"grad_norm": 0.685961127281189,
|
| 1533 |
+
"learning_rate": 3.5090316928038546e-05,
|
| 1534 |
+
"loss": 1.735,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.954248366013072,
|
| 1539 |
+
"grad_norm": 1.0843380689620972,
|
| 1540 |
+
"learning_rate": 3.487567869353144e-05,
|
| 1541 |
+
"loss": 1.5208,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.9586056644880174,
|
| 1546 |
+
"grad_norm": 0.7091177701950073,
|
| 1547 |
+
"learning_rate": 3.466078379965341e-05,
|
| 1548 |
+
"loss": 1.8162,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.9629629629629629,
|
| 1553 |
+
"grad_norm": 0.535933792591095,
|
| 1554 |
+
"learning_rate": 3.4445643558632295e-05,
|
| 1555 |
+
"loss": 1.7281,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.9673202614379085,
|
| 1560 |
+
"grad_norm": 0.6523289680480957,
|
| 1561 |
+
"learning_rate": 3.423026929561117e-05,
|
| 1562 |
+
"loss": 1.7759,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.971677559912854,
|
| 1567 |
+
"grad_norm": 0.6564977765083313,
|
| 1568 |
+
"learning_rate": 3.401467234805227e-05,
|
| 1569 |
+
"loss": 1.5996,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.9760348583877996,
|
| 1574 |
+
"grad_norm": 0.7078843712806702,
|
| 1575 |
+
"learning_rate": 3.379886406514004e-05,
|
| 1576 |
+
"loss": 1.6532,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.9803921568627451,
|
| 1581 |
+
"grad_norm": 0.7516049742698669,
|
| 1582 |
+
"learning_rate": 3.358285580718383e-05,
|
| 1583 |
+
"loss": 1.5464,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.9847494553376906,
|
| 1588 |
+
"grad_norm": 0.7365531325340271,
|
| 1589 |
+
"learning_rate": 3.336665894501977e-05,
|
| 1590 |
+
"loss": 1.7292,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.9891067538126361,
|
| 1595 |
+
"grad_norm": 0.9807084202766418,
|
| 1596 |
+
"learning_rate": 3.315028485941233e-05,
|
| 1597 |
+
"loss": 1.4769,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.9934640522875817,
|
| 1602 |
+
"grad_norm": 0.7513118386268616,
|
| 1603 |
+
"learning_rate": 3.293374494045507e-05,
|
| 1604 |
+
"loss": 1.8098,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.9978213507625272,
|
| 1609 |
+
"grad_norm": 0.7991335988044739,
|
| 1610 |
+
"learning_rate": 3.271705058697122e-05,
|
| 1611 |
+
"loss": 1.7686,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.0,
|
| 1616 |
+
"grad_norm": 1.0507432222366333,
|
| 1617 |
+
"learning_rate": 3.2500213205913506e-05,
|
| 1618 |
+
"loss": 0.9588,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
}
|
| 1621 |
+
],
|
| 1622 |
+
"logging_steps": 1,
|
| 1623 |
+
"max_steps": 458,
|
| 1624 |
+
"num_input_tokens_seen": 0,
|
| 1625 |
+
"num_train_epochs": 2,
|
| 1626 |
+
"save_steps": 23,
|
| 1627 |
+
"stateful_callbacks": {
|
| 1628 |
+
"TrainerControl": {
|
| 1629 |
+
"args": {
|
| 1630 |
+
"should_epoch_stop": false,
|
| 1631 |
+
"should_evaluate": false,
|
| 1632 |
+
"should_log": false,
|
| 1633 |
+
"should_save": true,
|
| 1634 |
+
"should_training_stop": false
|
| 1635 |
+
},
|
| 1636 |
+
"attributes": {}
|
| 1637 |
+
}
|
| 1638 |
+
},
|
| 1639 |
+
"total_flos": 3.9962116695030497e+18,
|
| 1640 |
+
"train_batch_size": 8,
|
| 1641 |
+
"trial_name": null,
|
| 1642 |
+
"trial_params": null
|
| 1643 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b842a33b4b9b2b888314b9c7168594787bf5385c08705a9a590a7af6200a9389
|
| 3 |
+
size 6904
|