Upload model files from ./output
Browse files- checkpoint-1053/README.md +206 -0
- checkpoint-1053/adapter_config.json +40 -0
- checkpoint-1053/adapter_model.safetensors +3 -0
- checkpoint-1053/optimizer.pt +3 -0
- checkpoint-1053/rng_state.pth +3 -0
- checkpoint-1053/scheduler.pt +3 -0
- checkpoint-1053/special_tokens_map.json +7 -0
- checkpoint-1053/tokenizer.json +0 -0
- checkpoint-1053/tokenizer_config.json +56 -0
- checkpoint-1053/trainer_state.json +778 -0
- checkpoint-1053/training_args.bin +3 -0
- checkpoint-1053/vocab.txt +0 -0
checkpoint-1053/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: bert-base-uncased
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:bert-base-uncased
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- 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. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
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).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.17.1
|
checkpoint-1053/adapter_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "bert-base-uncased",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": [
|
| 22 |
+
"classifier",
|
| 23 |
+
"score"
|
| 24 |
+
],
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 8,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"query",
|
| 32 |
+
"value"
|
| 33 |
+
],
|
| 34 |
+
"target_parameters": null,
|
| 35 |
+
"task_type": "SEQ_CLS",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_qalora": false,
|
| 39 |
+
"use_rslora": false
|
| 40 |
+
}
|
checkpoint-1053/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e80703a27bf10994cdf3e86ba164282b01fde620b33480cb513aaf6b2c8dc7b2
|
| 3 |
+
size 1192672
|
checkpoint-1053/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:784884bdb6836a373fca9a692961b78b2a2d5d0fbafc44181c9c6d66c7ed2652
|
| 3 |
+
size 2413946
|
checkpoint-1053/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d81327c4c252f9dab26bd26c111a7721d1cbcf51c63230cad81a168aed93f595
|
| 3 |
+
size 14244
|
checkpoint-1053/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a4b9aed76322d1a298cf11d19d33b3644b33a8f295b31ac8ea5e929414221083
|
| 3 |
+
size 1064
|
checkpoint-1053/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
checkpoint-1053/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1053/tokenizer_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"extra_special_tokens": {},
|
| 48 |
+
"mask_token": "[MASK]",
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "[PAD]",
|
| 51 |
+
"sep_token": "[SEP]",
|
| 52 |
+
"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
+
"tokenizer_class": "BertTokenizer",
|
| 55 |
+
"unk_token": "[UNK]"
|
| 56 |
+
}
|
checkpoint-1053/trainer_state.json
ADDED
|
@@ -0,0 +1,778 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1053,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.00949667616334283,
|
| 14 |
+
"grad_norm": 1.6454240083694458,
|
| 15 |
+
"learning_rate": 1.8e-05,
|
| 16 |
+
"loss": 0.6987,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.01899335232668566,
|
| 21 |
+
"grad_norm": 2.3809351921081543,
|
| 22 |
+
"learning_rate": 3.8e-05,
|
| 23 |
+
"loss": 0.6982,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.02849002849002849,
|
| 28 |
+
"grad_norm": 1.0666507482528687,
|
| 29 |
+
"learning_rate": 5.8e-05,
|
| 30 |
+
"loss": 0.6798,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.03798670465337132,
|
| 35 |
+
"grad_norm": 0.706766664981842,
|
| 36 |
+
"learning_rate": 7.800000000000001e-05,
|
| 37 |
+
"loss": 0.7069,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.04748338081671415,
|
| 42 |
+
"grad_norm": 0.6639021039009094,
|
| 43 |
+
"learning_rate": 9.8e-05,
|
| 44 |
+
"loss": 0.6893,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.05698005698005698,
|
| 49 |
+
"grad_norm": 1.9767122268676758,
|
| 50 |
+
"learning_rate": 0.000118,
|
| 51 |
+
"loss": 0.6788,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.06647673314339982,
|
| 56 |
+
"grad_norm": 2.050391912460327,
|
| 57 |
+
"learning_rate": 0.000138,
|
| 58 |
+
"loss": 0.669,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.07597340930674264,
|
| 63 |
+
"grad_norm": 1.793817400932312,
|
| 64 |
+
"learning_rate": 0.00015800000000000002,
|
| 65 |
+
"loss": 0.6546,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.08547008547008547,
|
| 70 |
+
"grad_norm": 1.8002227544784546,
|
| 71 |
+
"learning_rate": 0.00017800000000000002,
|
| 72 |
+
"loss": 0.5723,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0949667616334283,
|
| 77 |
+
"grad_norm": 1.848603367805481,
|
| 78 |
+
"learning_rate": 0.00019800000000000002,
|
| 79 |
+
"loss": 0.4259,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.10446343779677113,
|
| 84 |
+
"grad_norm": 1.7846860885620117,
|
| 85 |
+
"learning_rate": 0.0001981112277019937,
|
| 86 |
+
"loss": 0.3874,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.11396011396011396,
|
| 91 |
+
"grad_norm": 2.003509521484375,
|
| 92 |
+
"learning_rate": 0.00019601259181532005,
|
| 93 |
+
"loss": 0.3672,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.12345679012345678,
|
| 98 |
+
"grad_norm": 1.6732193231582642,
|
| 99 |
+
"learning_rate": 0.0001939139559286464,
|
| 100 |
+
"loss": 0.3374,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.13295346628679963,
|
| 105 |
+
"grad_norm": 2.4636569023132324,
|
| 106 |
+
"learning_rate": 0.00019181532004197273,
|
| 107 |
+
"loss": 0.3542,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.14245014245014245,
|
| 112 |
+
"grad_norm": 0.7589046955108643,
|
| 113 |
+
"learning_rate": 0.00018971668415529907,
|
| 114 |
+
"loss": 0.3948,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.15194681861348527,
|
| 119 |
+
"grad_norm": 1.4726976156234741,
|
| 120 |
+
"learning_rate": 0.00018761804826862542,
|
| 121 |
+
"loss": 0.3257,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.16144349477682812,
|
| 126 |
+
"grad_norm": 1.7170758247375488,
|
| 127 |
+
"learning_rate": 0.00018551941238195173,
|
| 128 |
+
"loss": 0.3017,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.17094017094017094,
|
| 133 |
+
"grad_norm": 1.00072181224823,
|
| 134 |
+
"learning_rate": 0.00018342077649527807,
|
| 135 |
+
"loss": 0.294,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.18043684710351376,
|
| 140 |
+
"grad_norm": 2.1541168689727783,
|
| 141 |
+
"learning_rate": 0.00018132214060860441,
|
| 142 |
+
"loss": 0.3131,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.1899335232668566,
|
| 147 |
+
"grad_norm": 1.1244969367980957,
|
| 148 |
+
"learning_rate": 0.00017922350472193076,
|
| 149 |
+
"loss": 0.3223,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.19943019943019943,
|
| 154 |
+
"grad_norm": 1.4077818393707275,
|
| 155 |
+
"learning_rate": 0.0001771248688352571,
|
| 156 |
+
"loss": 0.3388,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.20892687559354226,
|
| 161 |
+
"grad_norm": 1.0071030855178833,
|
| 162 |
+
"learning_rate": 0.0001750262329485834,
|
| 163 |
+
"loss": 0.3259,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.2184235517568851,
|
| 168 |
+
"grad_norm": 1.0033175945281982,
|
| 169 |
+
"learning_rate": 0.00017292759706190978,
|
| 170 |
+
"loss": 0.3314,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.22792022792022792,
|
| 175 |
+
"grad_norm": 1.0291067361831665,
|
| 176 |
+
"learning_rate": 0.0001708289611752361,
|
| 177 |
+
"loss": 0.2842,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.23741690408357075,
|
| 182 |
+
"grad_norm": 1.8706727027893066,
|
| 183 |
+
"learning_rate": 0.00016873032528856246,
|
| 184 |
+
"loss": 0.2681,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.24691358024691357,
|
| 189 |
+
"grad_norm": 1.376207709312439,
|
| 190 |
+
"learning_rate": 0.00016663168940188878,
|
| 191 |
+
"loss": 0.2537,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.2564102564102564,
|
| 196 |
+
"grad_norm": 2.999135732650757,
|
| 197 |
+
"learning_rate": 0.00016453305351521512,
|
| 198 |
+
"loss": 0.2981,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.26590693257359926,
|
| 203 |
+
"grad_norm": 2.727081775665283,
|
| 204 |
+
"learning_rate": 0.00016243441762854146,
|
| 205 |
+
"loss": 0.2673,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.2754036087369421,
|
| 210 |
+
"grad_norm": 1.5001118183135986,
|
| 211 |
+
"learning_rate": 0.00016033578174186777,
|
| 212 |
+
"loss": 0.2683,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.2849002849002849,
|
| 217 |
+
"grad_norm": 1.4198033809661865,
|
| 218 |
+
"learning_rate": 0.00015823714585519414,
|
| 219 |
+
"loss": 0.2409,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.2943969610636277,
|
| 224 |
+
"grad_norm": 1.721300482749939,
|
| 225 |
+
"learning_rate": 0.00015613850996852046,
|
| 226 |
+
"loss": 0.2991,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.30389363722697055,
|
| 231 |
+
"grad_norm": 2.4469053745269775,
|
| 232 |
+
"learning_rate": 0.00015403987408184683,
|
| 233 |
+
"loss": 0.2894,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.31339031339031337,
|
| 238 |
+
"grad_norm": 1.7008315324783325,
|
| 239 |
+
"learning_rate": 0.00015194123819517314,
|
| 240 |
+
"loss": 0.2785,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.32288698955365625,
|
| 245 |
+
"grad_norm": 2.1093602180480957,
|
| 246 |
+
"learning_rate": 0.00014984260230849948,
|
| 247 |
+
"loss": 0.2801,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.33238366571699907,
|
| 252 |
+
"grad_norm": 1.4667408466339111,
|
| 253 |
+
"learning_rate": 0.00014774396642182582,
|
| 254 |
+
"loss": 0.2756,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.3418803418803419,
|
| 259 |
+
"grad_norm": 1.1821681261062622,
|
| 260 |
+
"learning_rate": 0.00014564533053515217,
|
| 261 |
+
"loss": 0.2677,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.3513770180436847,
|
| 266 |
+
"grad_norm": 1.97978675365448,
|
| 267 |
+
"learning_rate": 0.0001435466946484785,
|
| 268 |
+
"loss": 0.2667,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.36087369420702753,
|
| 273 |
+
"grad_norm": 2.446789264678955,
|
| 274 |
+
"learning_rate": 0.00014144805876180482,
|
| 275 |
+
"loss": 0.2636,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.37037037037037035,
|
| 280 |
+
"grad_norm": 1.3880103826522827,
|
| 281 |
+
"learning_rate": 0.00013934942287513116,
|
| 282 |
+
"loss": 0.2599,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.3798670465337132,
|
| 287 |
+
"grad_norm": 1.0507601499557495,
|
| 288 |
+
"learning_rate": 0.0001372507869884575,
|
| 289 |
+
"loss": 0.2399,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.38936372269705605,
|
| 294 |
+
"grad_norm": 1.2903714179992676,
|
| 295 |
+
"learning_rate": 0.00013515215110178385,
|
| 296 |
+
"loss": 0.2857,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.39886039886039887,
|
| 301 |
+
"grad_norm": 2.2935380935668945,
|
| 302 |
+
"learning_rate": 0.0001330535152151102,
|
| 303 |
+
"loss": 0.3039,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.4083570750237417,
|
| 308 |
+
"grad_norm": 2.4779796600341797,
|
| 309 |
+
"learning_rate": 0.00013095487932843653,
|
| 310 |
+
"loss": 0.2611,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.4178537511870845,
|
| 315 |
+
"grad_norm": 2.6413402557373047,
|
| 316 |
+
"learning_rate": 0.00012885624344176287,
|
| 317 |
+
"loss": 0.2793,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.42735042735042733,
|
| 322 |
+
"grad_norm": 1.1027549505233765,
|
| 323 |
+
"learning_rate": 0.0001267576075550892,
|
| 324 |
+
"loss": 0.2484,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.4368471035137702,
|
| 329 |
+
"grad_norm": 0.9617390036582947,
|
| 330 |
+
"learning_rate": 0.00012465897166841553,
|
| 331 |
+
"loss": 0.2805,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.44634377967711303,
|
| 336 |
+
"grad_norm": 1.5658375024795532,
|
| 337 |
+
"learning_rate": 0.00012256033578174187,
|
| 338 |
+
"loss": 0.2595,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.45584045584045585,
|
| 343 |
+
"grad_norm": 0.9513549208641052,
|
| 344 |
+
"learning_rate": 0.00012046169989506821,
|
| 345 |
+
"loss": 0.282,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.46533713200379867,
|
| 350 |
+
"grad_norm": 1.1086242198944092,
|
| 351 |
+
"learning_rate": 0.00011836306400839454,
|
| 352 |
+
"loss": 0.255,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.4748338081671415,
|
| 357 |
+
"grad_norm": 1.0744282007217407,
|
| 358 |
+
"learning_rate": 0.00011626442812172089,
|
| 359 |
+
"loss": 0.2603,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.4843304843304843,
|
| 364 |
+
"grad_norm": 1.3667666912078857,
|
| 365 |
+
"learning_rate": 0.00011416579223504722,
|
| 366 |
+
"loss": 0.2964,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.49382716049382713,
|
| 371 |
+
"grad_norm": 1.6280840635299683,
|
| 372 |
+
"learning_rate": 0.00011206715634837358,
|
| 373 |
+
"loss": 0.2692,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.50332383665717,
|
| 378 |
+
"grad_norm": 1.357684850692749,
|
| 379 |
+
"learning_rate": 0.0001099685204616999,
|
| 380 |
+
"loss": 0.2561,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.5128205128205128,
|
| 385 |
+
"grad_norm": 2.6164777278900146,
|
| 386 |
+
"learning_rate": 0.00010786988457502624,
|
| 387 |
+
"loss": 0.2608,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.5223171889838556,
|
| 392 |
+
"grad_norm": 1.8121424913406372,
|
| 393 |
+
"learning_rate": 0.00010577124868835257,
|
| 394 |
+
"loss": 0.2616,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.5318138651471985,
|
| 399 |
+
"grad_norm": 1.4614757299423218,
|
| 400 |
+
"learning_rate": 0.0001036726128016789,
|
| 401 |
+
"loss": 0.2589,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.5413105413105413,
|
| 406 |
+
"grad_norm": 1.6524012088775635,
|
| 407 |
+
"learning_rate": 0.00010157397691500526,
|
| 408 |
+
"loss": 0.2237,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.5508072174738842,
|
| 413 |
+
"grad_norm": 2.1531240940093994,
|
| 414 |
+
"learning_rate": 9.94753410283316e-05,
|
| 415 |
+
"loss": 0.2334,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.560303893637227,
|
| 420 |
+
"grad_norm": 1.4045403003692627,
|
| 421 |
+
"learning_rate": 9.737670514165792e-05,
|
| 422 |
+
"loss": 0.2437,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.5698005698005698,
|
| 427 |
+
"grad_norm": 1.2194677591323853,
|
| 428 |
+
"learning_rate": 9.527806925498427e-05,
|
| 429 |
+
"loss": 0.2418,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.5792972459639126,
|
| 434 |
+
"grad_norm": 2.1084558963775635,
|
| 435 |
+
"learning_rate": 9.31794333683106e-05,
|
| 436 |
+
"loss": 0.252,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.5887939221272555,
|
| 441 |
+
"grad_norm": 1.6761924028396606,
|
| 442 |
+
"learning_rate": 9.108079748163694e-05,
|
| 443 |
+
"loss": 0.251,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.5982905982905983,
|
| 448 |
+
"grad_norm": 1.6018497943878174,
|
| 449 |
+
"learning_rate": 8.898216159496328e-05,
|
| 450 |
+
"loss": 0.2381,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.6077872744539411,
|
| 455 |
+
"grad_norm": 2.0933196544647217,
|
| 456 |
+
"learning_rate": 8.688352570828962e-05,
|
| 457 |
+
"loss": 0.2857,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.6172839506172839,
|
| 462 |
+
"grad_norm": 1.137955665588379,
|
| 463 |
+
"learning_rate": 8.478488982161596e-05,
|
| 464 |
+
"loss": 0.2485,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.6267806267806267,
|
| 469 |
+
"grad_norm": 1.2818603515625,
|
| 470 |
+
"learning_rate": 8.268625393494229e-05,
|
| 471 |
+
"loss": 0.2675,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.6362773029439696,
|
| 476 |
+
"grad_norm": 1.2351685762405396,
|
| 477 |
+
"learning_rate": 8.058761804826863e-05,
|
| 478 |
+
"loss": 0.2511,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.6457739791073125,
|
| 483 |
+
"grad_norm": 1.7336459159851074,
|
| 484 |
+
"learning_rate": 7.848898216159497e-05,
|
| 485 |
+
"loss": 0.2641,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.6552706552706553,
|
| 490 |
+
"grad_norm": 2.0724027156829834,
|
| 491 |
+
"learning_rate": 7.639034627492131e-05,
|
| 492 |
+
"loss": 0.2606,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.6647673314339981,
|
| 497 |
+
"grad_norm": 1.085392951965332,
|
| 498 |
+
"learning_rate": 7.429171038824764e-05,
|
| 499 |
+
"loss": 0.2349,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.674264007597341,
|
| 504 |
+
"grad_norm": 1.6605762243270874,
|
| 505 |
+
"learning_rate": 7.219307450157398e-05,
|
| 506 |
+
"loss": 0.2729,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.6837606837606838,
|
| 511 |
+
"grad_norm": 1.5811147689819336,
|
| 512 |
+
"learning_rate": 7.009443861490031e-05,
|
| 513 |
+
"loss": 0.2819,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.6932573599240266,
|
| 518 |
+
"grad_norm": 0.9231966733932495,
|
| 519 |
+
"learning_rate": 6.799580272822665e-05,
|
| 520 |
+
"loss": 0.2803,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.7027540360873694,
|
| 525 |
+
"grad_norm": 1.6523157358169556,
|
| 526 |
+
"learning_rate": 6.5897166841553e-05,
|
| 527 |
+
"loss": 0.2393,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.7122507122507122,
|
| 532 |
+
"grad_norm": 1.0380234718322754,
|
| 533 |
+
"learning_rate": 6.379853095487933e-05,
|
| 534 |
+
"loss": 0.2423,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.7217473884140551,
|
| 539 |
+
"grad_norm": 2.9403843879699707,
|
| 540 |
+
"learning_rate": 6.169989506820568e-05,
|
| 541 |
+
"loss": 0.2248,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.7312440645773979,
|
| 546 |
+
"grad_norm": 0.8838152885437012,
|
| 547 |
+
"learning_rate": 5.960125918153201e-05,
|
| 548 |
+
"loss": 0.2427,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.7407407407407407,
|
| 553 |
+
"grad_norm": 1.2751622200012207,
|
| 554 |
+
"learning_rate": 5.7502623294858346e-05,
|
| 555 |
+
"loss": 0.2964,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.7502374169040835,
|
| 560 |
+
"grad_norm": 1.8297624588012695,
|
| 561 |
+
"learning_rate": 5.540398740818469e-05,
|
| 562 |
+
"loss": 0.2968,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.7597340930674265,
|
| 567 |
+
"grad_norm": 0.9778124094009399,
|
| 568 |
+
"learning_rate": 5.3305351521511015e-05,
|
| 569 |
+
"loss": 0.2689,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.7692307692307693,
|
| 574 |
+
"grad_norm": 1.4869322776794434,
|
| 575 |
+
"learning_rate": 5.120671563483736e-05,
|
| 576 |
+
"loss": 0.2431,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.7787274453941121,
|
| 581 |
+
"grad_norm": 1.0609235763549805,
|
| 582 |
+
"learning_rate": 4.910807974816369e-05,
|
| 583 |
+
"loss": 0.2471,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.7882241215574549,
|
| 588 |
+
"grad_norm": 1.069249153137207,
|
| 589 |
+
"learning_rate": 4.700944386149003e-05,
|
| 590 |
+
"loss": 0.246,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.7977207977207977,
|
| 595 |
+
"grad_norm": 1.1175950765609741,
|
| 596 |
+
"learning_rate": 4.4910807974816374e-05,
|
| 597 |
+
"loss": 0.2248,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.8072174738841406,
|
| 602 |
+
"grad_norm": 1.1462827920913696,
|
| 603 |
+
"learning_rate": 4.281217208814271e-05,
|
| 604 |
+
"loss": 0.279,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.8167141500474834,
|
| 609 |
+
"grad_norm": 1.1955088376998901,
|
| 610 |
+
"learning_rate": 4.071353620146905e-05,
|
| 611 |
+
"loss": 0.2816,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.8262108262108262,
|
| 616 |
+
"grad_norm": 0.855591356754303,
|
| 617 |
+
"learning_rate": 3.8614900314795385e-05,
|
| 618 |
+
"loss": 0.2552,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.835707502374169,
|
| 623 |
+
"grad_norm": 1.4468364715576172,
|
| 624 |
+
"learning_rate": 3.651626442812172e-05,
|
| 625 |
+
"loss": 0.241,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.8452041785375118,
|
| 630 |
+
"grad_norm": 1.0217783451080322,
|
| 631 |
+
"learning_rate": 3.441762854144806e-05,
|
| 632 |
+
"loss": 0.2348,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.8547008547008547,
|
| 637 |
+
"grad_norm": 1.1633769273757935,
|
| 638 |
+
"learning_rate": 3.2318992654774396e-05,
|
| 639 |
+
"loss": 0.2295,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.8641975308641975,
|
| 644 |
+
"grad_norm": 1.778662919998169,
|
| 645 |
+
"learning_rate": 3.0220356768100738e-05,
|
| 646 |
+
"loss": 0.2536,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.8736942070275404,
|
| 651 |
+
"grad_norm": 1.761080026626587,
|
| 652 |
+
"learning_rate": 2.8121720881427073e-05,
|
| 653 |
+
"loss": 0.218,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.8831908831908832,
|
| 658 |
+
"grad_norm": 3.540036678314209,
|
| 659 |
+
"learning_rate": 2.602308499475341e-05,
|
| 660 |
+
"loss": 0.263,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.8926875593542261,
|
| 665 |
+
"grad_norm": 1.4638031721115112,
|
| 666 |
+
"learning_rate": 2.392444910807975e-05,
|
| 667 |
+
"loss": 0.2349,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.9021842355175689,
|
| 672 |
+
"grad_norm": 2.1143622398376465,
|
| 673 |
+
"learning_rate": 2.1825813221406087e-05,
|
| 674 |
+
"loss": 0.2299,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.9116809116809117,
|
| 679 |
+
"grad_norm": 3.587660074234009,
|
| 680 |
+
"learning_rate": 1.9727177334732425e-05,
|
| 681 |
+
"loss": 0.2549,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.9211775878442545,
|
| 686 |
+
"grad_norm": 1.3660069704055786,
|
| 687 |
+
"learning_rate": 1.7628541448058763e-05,
|
| 688 |
+
"loss": 0.2384,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.9306742640075973,
|
| 693 |
+
"grad_norm": 0.9572636485099792,
|
| 694 |
+
"learning_rate": 1.55299055613851e-05,
|
| 695 |
+
"loss": 0.2189,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.9401709401709402,
|
| 700 |
+
"grad_norm": 1.820334553718567,
|
| 701 |
+
"learning_rate": 1.343126967471144e-05,
|
| 702 |
+
"loss": 0.2386,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.949667616334283,
|
| 707 |
+
"grad_norm": 1.470386266708374,
|
| 708 |
+
"learning_rate": 1.1332633788037776e-05,
|
| 709 |
+
"loss": 0.2546,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.9591642924976258,
|
| 714 |
+
"grad_norm": 1.8208659887313843,
|
| 715 |
+
"learning_rate": 9.233997901364114e-06,
|
| 716 |
+
"loss": 0.2369,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.9686609686609686,
|
| 721 |
+
"grad_norm": 1.2002774477005005,
|
| 722 |
+
"learning_rate": 7.135362014690451e-06,
|
| 723 |
+
"loss": 0.2423,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.9781576448243114,
|
| 728 |
+
"grad_norm": 2.2127225399017334,
|
| 729 |
+
"learning_rate": 5.036726128016789e-06,
|
| 730 |
+
"loss": 0.247,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.9876543209876543,
|
| 735 |
+
"grad_norm": 1.1753383874893188,
|
| 736 |
+
"learning_rate": 2.938090241343127e-06,
|
| 737 |
+
"loss": 0.2326,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.9971509971509972,
|
| 742 |
+
"grad_norm": 1.2763642072677612,
|
| 743 |
+
"learning_rate": 8.39454354669465e-07,
|
| 744 |
+
"loss": 0.2762,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.0,
|
| 749 |
+
"eval_accuracy": 0.9094036697247706,
|
| 750 |
+
"eval_loss": 0.24317149817943573,
|
| 751 |
+
"eval_runtime": 0.7997,
|
| 752 |
+
"eval_samples_per_second": 1090.345,
|
| 753 |
+
"eval_steps_per_second": 17.506,
|
| 754 |
+
"step": 1053
|
| 755 |
+
}
|
| 756 |
+
],
|
| 757 |
+
"logging_steps": 10,
|
| 758 |
+
"max_steps": 1053,
|
| 759 |
+
"num_input_tokens_seen": 0,
|
| 760 |
+
"num_train_epochs": 1,
|
| 761 |
+
"save_steps": 500,
|
| 762 |
+
"stateful_callbacks": {
|
| 763 |
+
"TrainerControl": {
|
| 764 |
+
"args": {
|
| 765 |
+
"should_epoch_stop": false,
|
| 766 |
+
"should_evaluate": false,
|
| 767 |
+
"should_log": false,
|
| 768 |
+
"should_save": true,
|
| 769 |
+
"should_training_stop": true
|
| 770 |
+
},
|
| 771 |
+
"attributes": {}
|
| 772 |
+
}
|
| 773 |
+
},
|
| 774 |
+
"total_flos": 4445399999840256.0,
|
| 775 |
+
"train_batch_size": 64,
|
| 776 |
+
"trial_name": null,
|
| 777 |
+
"trial_params": null
|
| 778 |
+
}
|
checkpoint-1053/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dd938ebdb5c55f48bf046b66f50bc84fd1e3b6fb062ce0fe85a04c92d778caf
|
| 3 |
+
size 5304
|
checkpoint-1053/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|