Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +31 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +23 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +73 -0
- last-checkpoint/trainer_state.json +758 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: beomi/polyglot-ko-12.8b-safetensors
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "beomi/polyglot-ko-12.8b-safetensors",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"dense_4h_to_h",
|
| 24 |
+
"dense_h_to_4h",
|
| 25 |
+
"dense",
|
| 26 |
+
"query_key_value"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7bb10ee99c2184bb88dc004cb83e696e619a34fd8ff65e7ff18053ce2240c30e
|
| 3 |
+
size 104902272
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61ff9e67d68841be5eeb4da3306240b64be15b2a0275df9e142c98deda535c94
|
| 3 |
+
size 28606934
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73ab4cdec999c79180b2e4c8522c3dc405696636e0da3b3beda297da56654942
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2670925f7aafde856f533b1d59169770edfa86742446e123baeeed45808055c3
|
| 3 |
+
size 2080
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|endoftext|>",
|
| 4 |
+
"<|sep|>",
|
| 5 |
+
"<|acc|>",
|
| 6 |
+
"<|tel|>",
|
| 7 |
+
"<|rrn|>"
|
| 8 |
+
],
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<|unused0|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<|unused1|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "<|endoftext|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<|sep|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"30000": {
|
| 36 |
+
"content": "<|acc|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"30001": {
|
| 44 |
+
"content": "<|tel|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"30002": {
|
| 52 |
+
"content": "<|rrn|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"additional_special_tokens": [
|
| 61 |
+
"<|endoftext|>",
|
| 62 |
+
"<|sep|>",
|
| 63 |
+
"<|acc|>",
|
| 64 |
+
"<|tel|>",
|
| 65 |
+
"<|rrn|>"
|
| 66 |
+
],
|
| 67 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 68 |
+
"clean_up_tokenization_spaces": true,
|
| 69 |
+
"eos_token": "<|endoftext|>",
|
| 70 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 71 |
+
"pad_token": "<|endoftext|>",
|
| 72 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 73 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,758 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.8293787240982056,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.005477351152982418,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 5.4773511529824174e-05,
|
| 13 |
+
"grad_norm": 0.9768730998039246,
|
| 14 |
+
"learning_rate": 6.666666649834951e-06,
|
| 15 |
+
"loss": 2.6066,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 5.4773511529824174e-05,
|
| 20 |
+
"eval_loss": 2.296978235244751,
|
| 21 |
+
"eval_runtime": 45.7865,
|
| 22 |
+
"eval_samples_per_second": 2.009,
|
| 23 |
+
"eval_steps_per_second": 2.009,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.00010954702305964835,
|
| 28 |
+
"grad_norm": 3.5348165035247803,
|
| 29 |
+
"learning_rate": 1.3333333299669903e-05,
|
| 30 |
+
"loss": 2.2621,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.00016432053458947254,
|
| 35 |
+
"grad_norm": 0.821417510509491,
|
| 36 |
+
"learning_rate": 1.9999999494757503e-05,
|
| 37 |
+
"loss": 1.6219,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.0002190940461192967,
|
| 42 |
+
"grad_norm": 1.6492409706115723,
|
| 43 |
+
"learning_rate": 2.6666666599339806e-05,
|
| 44 |
+
"loss": 2.4681,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0002738675576491209,
|
| 49 |
+
"grad_norm": 1.1491681337356567,
|
| 50 |
+
"learning_rate": 3.333333370392211e-05,
|
| 51 |
+
"loss": 2.459,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0003286410691789451,
|
| 56 |
+
"grad_norm": 0.6358470916748047,
|
| 57 |
+
"learning_rate": 3.9999998989515007e-05,
|
| 58 |
+
"loss": 2.1835,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.00038341458070876926,
|
| 63 |
+
"grad_norm": 0.815460741519928,
|
| 64 |
+
"learning_rate": 4.6666664275107905e-05,
|
| 65 |
+
"loss": 2.5673,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0004381880922385934,
|
| 70 |
+
"grad_norm": 2.9213340282440186,
|
| 71 |
+
"learning_rate": 5.333333319867961e-05,
|
| 72 |
+
"loss": 1.8313,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0004929616037684176,
|
| 77 |
+
"grad_norm": 1.1703193187713623,
|
| 78 |
+
"learning_rate": 6.000000212225132e-05,
|
| 79 |
+
"loss": 1.9391,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0005477351152982418,
|
| 84 |
+
"grad_norm": 0.812526285648346,
|
| 85 |
+
"learning_rate": 6.666666740784422e-05,
|
| 86 |
+
"loss": 3.092,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.000602508626828066,
|
| 91 |
+
"grad_norm": 1.7026020288467407,
|
| 92 |
+
"learning_rate": 7.333333633141592e-05,
|
| 93 |
+
"loss": 1.987,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0006572821383578902,
|
| 98 |
+
"grad_norm": 2.2235491275787354,
|
| 99 |
+
"learning_rate": 7.999999797903001e-05,
|
| 100 |
+
"loss": 2.3579,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.0007120556498877143,
|
| 105 |
+
"grad_norm": 2.0740509033203125,
|
| 106 |
+
"learning_rate": 8.666666690260172e-05,
|
| 107 |
+
"loss": 1.9962,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.0007668291614175385,
|
| 112 |
+
"grad_norm": 1.1765992641448975,
|
| 113 |
+
"learning_rate": 9.333332855021581e-05,
|
| 114 |
+
"loss": 2.3411,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.0008216026729473627,
|
| 119 |
+
"grad_norm": 3.0403523445129395,
|
| 120 |
+
"learning_rate": 9.999999747378752e-05,
|
| 121 |
+
"loss": 2.004,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.0008763761844771868,
|
| 126 |
+
"grad_norm": 1.138260006904602,
|
| 127 |
+
"learning_rate": 0.00010666666639735922,
|
| 128 |
+
"loss": 2.2383,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.000931149696007011,
|
| 133 |
+
"grad_norm": 0.8550275564193726,
|
| 134 |
+
"learning_rate": 0.00011333332804497331,
|
| 135 |
+
"loss": 1.701,
|
| 136 |
+
"step": 17
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0009859232075368353,
|
| 140 |
+
"grad_norm": 3.592313289642334,
|
| 141 |
+
"learning_rate": 0.00012000000424450263,
|
| 142 |
+
"loss": 4.1003,
|
| 143 |
+
"step": 18
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.0010406967190666593,
|
| 147 |
+
"grad_norm": 3.2478175163269043,
|
| 148 |
+
"learning_rate": 0.00012666666589211673,
|
| 149 |
+
"loss": 3.5006,
|
| 150 |
+
"step": 19
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.0010954702305964836,
|
| 154 |
+
"grad_norm": 1.4223264455795288,
|
| 155 |
+
"learning_rate": 0.00013333333481568843,
|
| 156 |
+
"loss": 2.0294,
|
| 157 |
+
"step": 20
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0011502437421263077,
|
| 161 |
+
"grad_norm": 2.4346776008605957,
|
| 162 |
+
"learning_rate": 0.0001399999891873449,
|
| 163 |
+
"loss": 2.7581,
|
| 164 |
+
"step": 21
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.001205017253656132,
|
| 168 |
+
"grad_norm": 1.796597957611084,
|
| 169 |
+
"learning_rate": 0.00014666667266283184,
|
| 170 |
+
"loss": 2.1086,
|
| 171 |
+
"step": 22
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.001259790765185956,
|
| 175 |
+
"grad_norm": 6.398910999298096,
|
| 176 |
+
"learning_rate": 0.00015333332703448832,
|
| 177 |
+
"loss": 2.238,
|
| 178 |
+
"step": 23
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.0013145642767157803,
|
| 182 |
+
"grad_norm": 0.6837334036827087,
|
| 183 |
+
"learning_rate": 0.00015999999595806003,
|
| 184 |
+
"loss": 0.9244,
|
| 185 |
+
"step": 24
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.0013693377882456044,
|
| 189 |
+
"grad_norm": 1.8410735130310059,
|
| 190 |
+
"learning_rate": 0.00016666666488163173,
|
| 191 |
+
"loss": 1.6576,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.0014241112997754287,
|
| 196 |
+
"grad_norm": 6.760753631591797,
|
| 197 |
+
"learning_rate": 0.00017333333380520344,
|
| 198 |
+
"loss": 3.0678,
|
| 199 |
+
"step": 26
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.0014788848113052528,
|
| 203 |
+
"grad_norm": 4.763922214508057,
|
| 204 |
+
"learning_rate": 0.00017999998817685992,
|
| 205 |
+
"loss": 3.2307,
|
| 206 |
+
"step": 27
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.001533658322835077,
|
| 210 |
+
"grad_norm": 2.865272045135498,
|
| 211 |
+
"learning_rate": 0.00018666665710043162,
|
| 212 |
+
"loss": 2.0444,
|
| 213 |
+
"step": 28
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.0015884318343649011,
|
| 217 |
+
"grad_norm": 4.132416725158691,
|
| 218 |
+
"learning_rate": 0.00019333332602400333,
|
| 219 |
+
"loss": 1.5826,
|
| 220 |
+
"step": 29
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.0016432053458947254,
|
| 224 |
+
"grad_norm": 3.711785316467285,
|
| 225 |
+
"learning_rate": 0.00019999999494757503,
|
| 226 |
+
"loss": 1.5979,
|
| 227 |
+
"step": 30
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.0016979788574245495,
|
| 231 |
+
"grad_norm": 7.421922206878662,
|
| 232 |
+
"learning_rate": 0.00019999999494757503,
|
| 233 |
+
"loss": 0.8549,
|
| 234 |
+
"step": 31
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.0017527523689543736,
|
| 238 |
+
"grad_norm": 3.282616376876831,
|
| 239 |
+
"learning_rate": 0.00019999999494757503,
|
| 240 |
+
"loss": 1.9327,
|
| 241 |
+
"step": 32
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.0018075258804841979,
|
| 245 |
+
"grad_norm": 7.0716047286987305,
|
| 246 |
+
"learning_rate": 0.00019999999494757503,
|
| 247 |
+
"loss": 1.5558,
|
| 248 |
+
"step": 33
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.001862299392014022,
|
| 252 |
+
"grad_norm": 7.632896900177002,
|
| 253 |
+
"learning_rate": 0.00019999999494757503,
|
| 254 |
+
"loss": 2.8625,
|
| 255 |
+
"step": 34
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.0019170729035438462,
|
| 259 |
+
"grad_norm": 4.289644718170166,
|
| 260 |
+
"learning_rate": 0.00019999999494757503,
|
| 261 |
+
"loss": 1.5348,
|
| 262 |
+
"step": 35
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.0019718464150736705,
|
| 266 |
+
"grad_norm": 6.085939884185791,
|
| 267 |
+
"learning_rate": 0.00019999999494757503,
|
| 268 |
+
"loss": 1.8138,
|
| 269 |
+
"step": 36
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.0020266199266034944,
|
| 273 |
+
"grad_norm": 4.090256214141846,
|
| 274 |
+
"learning_rate": 0.0001999999803956598,
|
| 275 |
+
"loss": 2.1474,
|
| 276 |
+
"step": 37
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.0020813934381333186,
|
| 280 |
+
"grad_norm": 20.634706497192383,
|
| 281 |
+
"learning_rate": 0.0001999999803956598,
|
| 282 |
+
"loss": 4.4707,
|
| 283 |
+
"step": 38
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.002136166949663143,
|
| 287 |
+
"grad_norm": 3.807300329208374,
|
| 288 |
+
"learning_rate": 0.0001999999803956598,
|
| 289 |
+
"loss": 1.2229,
|
| 290 |
+
"step": 39
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.0021909404611929672,
|
| 294 |
+
"grad_norm": 2.3026716709136963,
|
| 295 |
+
"learning_rate": 0.0001999999803956598,
|
| 296 |
+
"loss": 1.6349,
|
| 297 |
+
"step": 40
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.002245713972722791,
|
| 301 |
+
"grad_norm": 3.326026439666748,
|
| 302 |
+
"learning_rate": 0.00019999996584374458,
|
| 303 |
+
"loss": 2.4853,
|
| 304 |
+
"step": 41
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.0023004874842526154,
|
| 308 |
+
"grad_norm": 5.645256996154785,
|
| 309 |
+
"learning_rate": 0.00019999996584374458,
|
| 310 |
+
"loss": 2.8029,
|
| 311 |
+
"step": 42
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.0023552609957824397,
|
| 315 |
+
"grad_norm": 5.101483345031738,
|
| 316 |
+
"learning_rate": 0.00019999996584374458,
|
| 317 |
+
"loss": 2.1219,
|
| 318 |
+
"step": 43
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.002410034507312264,
|
| 322 |
+
"grad_norm": 15.552334785461426,
|
| 323 |
+
"learning_rate": 0.00019999996584374458,
|
| 324 |
+
"loss": 2.4868,
|
| 325 |
+
"step": 44
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.002464808018842088,
|
| 329 |
+
"grad_norm": 4.182264804840088,
|
| 330 |
+
"learning_rate": 0.00019999996584374458,
|
| 331 |
+
"loss": 1.7253,
|
| 332 |
+
"step": 45
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.002519581530371912,
|
| 336 |
+
"grad_norm": 6.083288669586182,
|
| 337 |
+
"learning_rate": 0.00019999995129182935,
|
| 338 |
+
"loss": 2.7396,
|
| 339 |
+
"step": 46
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.0025743550419017364,
|
| 343 |
+
"grad_norm": 4.40397310256958,
|
| 344 |
+
"learning_rate": 0.00019999995129182935,
|
| 345 |
+
"loss": 2.8195,
|
| 346 |
+
"step": 47
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.0026291285534315607,
|
| 350 |
+
"grad_norm": 2.1146864891052246,
|
| 351 |
+
"learning_rate": 0.00019999995129182935,
|
| 352 |
+
"loss": 1.8644,
|
| 353 |
+
"step": 48
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.0026839020649613845,
|
| 357 |
+
"grad_norm": 5.840154647827148,
|
| 358 |
+
"learning_rate": 0.00019999993673991412,
|
| 359 |
+
"loss": 3.4308,
|
| 360 |
+
"step": 49
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.002738675576491209,
|
| 364 |
+
"grad_norm": 2.556663751602173,
|
| 365 |
+
"learning_rate": 0.0001999999221879989,
|
| 366 |
+
"loss": 1.8434,
|
| 367 |
+
"step": 50
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.002793449088021033,
|
| 371 |
+
"grad_norm": 2.5221335887908936,
|
| 372 |
+
"learning_rate": 0.0001999999221879989,
|
| 373 |
+
"loss": 1.6593,
|
| 374 |
+
"step": 51
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.0028482225995508574,
|
| 378 |
+
"grad_norm": 5.409939289093018,
|
| 379 |
+
"learning_rate": 0.00019999990763608366,
|
| 380 |
+
"loss": 1.291,
|
| 381 |
+
"step": 52
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.0029029961110806812,
|
| 385 |
+
"grad_norm": 6.110541820526123,
|
| 386 |
+
"learning_rate": 0.00019999990763608366,
|
| 387 |
+
"loss": 1.8362,
|
| 388 |
+
"step": 53
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.0029577696226105055,
|
| 392 |
+
"grad_norm": 3.036054849624634,
|
| 393 |
+
"learning_rate": 0.00019999989308416843,
|
| 394 |
+
"loss": 2.5228,
|
| 395 |
+
"step": 54
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.00301254313414033,
|
| 399 |
+
"grad_norm": 1.70968759059906,
|
| 400 |
+
"learning_rate": 0.00019999989308416843,
|
| 401 |
+
"loss": 1.2433,
|
| 402 |
+
"step": 55
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.003067316645670154,
|
| 406 |
+
"grad_norm": 2.375856876373291,
|
| 407 |
+
"learning_rate": 0.00019999989308416843,
|
| 408 |
+
"loss": 1.1941,
|
| 409 |
+
"step": 56
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.003122090157199978,
|
| 413 |
+
"grad_norm": 5.67842960357666,
|
| 414 |
+
"learning_rate": 0.0001999998785322532,
|
| 415 |
+
"loss": 2.202,
|
| 416 |
+
"step": 57
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.0031768636687298023,
|
| 420 |
+
"grad_norm": 2.5988142490386963,
|
| 421 |
+
"learning_rate": 0.00019999986398033798,
|
| 422 |
+
"loss": 1.9969,
|
| 423 |
+
"step": 58
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.0032316371802596265,
|
| 427 |
+
"grad_norm": 2.14386248588562,
|
| 428 |
+
"learning_rate": 0.00019999984942842275,
|
| 429 |
+
"loss": 1.8093,
|
| 430 |
+
"step": 59
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.003286410691789451,
|
| 434 |
+
"grad_norm": 6.440406799316406,
|
| 435 |
+
"learning_rate": 0.00019999984942842275,
|
| 436 |
+
"loss": 1.1994,
|
| 437 |
+
"step": 60
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0033411842033192747,
|
| 441 |
+
"grad_norm": 2.41021990776062,
|
| 442 |
+
"learning_rate": 0.00019999983487650752,
|
| 443 |
+
"loss": 1.6569,
|
| 444 |
+
"step": 61
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.003395957714849099,
|
| 448 |
+
"grad_norm": 2.660693407058716,
|
| 449 |
+
"learning_rate": 0.00019999983487650752,
|
| 450 |
+
"loss": 1.473,
|
| 451 |
+
"step": 62
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.0034507312263789233,
|
| 455 |
+
"grad_norm": 2.5611565113067627,
|
| 456 |
+
"learning_rate": 0.0001999998203245923,
|
| 457 |
+
"loss": 2.2089,
|
| 458 |
+
"step": 63
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.003505504737908747,
|
| 462 |
+
"grad_norm": 3.8733954429626465,
|
| 463 |
+
"learning_rate": 0.00019999980577267706,
|
| 464 |
+
"loss": 2.3284,
|
| 465 |
+
"step": 64
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.0035602782494385714,
|
| 469 |
+
"grad_norm": 9.533913612365723,
|
| 470 |
+
"learning_rate": 0.00019999979122076184,
|
| 471 |
+
"loss": 2.8818,
|
| 472 |
+
"step": 65
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.0036150517609683957,
|
| 476 |
+
"grad_norm": 2.5346055030822754,
|
| 477 |
+
"learning_rate": 0.0001999997766688466,
|
| 478 |
+
"loss": 1.6175,
|
| 479 |
+
"step": 66
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.00366982527249822,
|
| 483 |
+
"grad_norm": 2.3738250732421875,
|
| 484 |
+
"learning_rate": 0.00019999976211693138,
|
| 485 |
+
"loss": 1.8676,
|
| 486 |
+
"step": 67
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.003724598784028044,
|
| 490 |
+
"grad_norm": 5.370700836181641,
|
| 491 |
+
"learning_rate": 0.00019999976211693138,
|
| 492 |
+
"loss": 1.5898,
|
| 493 |
+
"step": 68
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.003779372295557868,
|
| 497 |
+
"grad_norm": 2.5777502059936523,
|
| 498 |
+
"learning_rate": 0.00019999974756501615,
|
| 499 |
+
"loss": 1.1626,
|
| 500 |
+
"step": 69
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0038341458070876924,
|
| 504 |
+
"grad_norm": 10.031082153320312,
|
| 505 |
+
"learning_rate": 0.00019999973301310092,
|
| 506 |
+
"loss": 1.9212,
|
| 507 |
+
"step": 70
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.0038889193186175167,
|
| 511 |
+
"grad_norm": 3.7496495246887207,
|
| 512 |
+
"learning_rate": 0.0001999997184611857,
|
| 513 |
+
"loss": 1.2288,
|
| 514 |
+
"step": 71
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.003943692830147341,
|
| 518 |
+
"grad_norm": 2.1219987869262695,
|
| 519 |
+
"learning_rate": 0.00019999970390927047,
|
| 520 |
+
"loss": 2.123,
|
| 521 |
+
"step": 72
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.003998466341677165,
|
| 525 |
+
"grad_norm": 11.218868255615234,
|
| 526 |
+
"learning_rate": 0.00019999968935735524,
|
| 527 |
+
"loss": 3.452,
|
| 528 |
+
"step": 73
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.004053239853206989,
|
| 532 |
+
"grad_norm": 3.715468645095825,
|
| 533 |
+
"learning_rate": 0.00019999967480544,
|
| 534 |
+
"loss": 0.3953,
|
| 535 |
+
"step": 74
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.0041080133647368134,
|
| 539 |
+
"grad_norm": 4.391203880310059,
|
| 540 |
+
"learning_rate": 0.00019999966025352478,
|
| 541 |
+
"loss": 2.0177,
|
| 542 |
+
"step": 75
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.004162786876266637,
|
| 546 |
+
"grad_norm": 2.273371696472168,
|
| 547 |
+
"learning_rate": 0.00019999964570160955,
|
| 548 |
+
"loss": 0.8277,
|
| 549 |
+
"step": 76
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.004217560387796462,
|
| 553 |
+
"grad_norm": 5.312260627746582,
|
| 554 |
+
"learning_rate": 0.00019999963114969432,
|
| 555 |
+
"loss": 1.7209,
|
| 556 |
+
"step": 77
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.004272333899326286,
|
| 560 |
+
"grad_norm": 21.646921157836914,
|
| 561 |
+
"learning_rate": 0.0001999996165977791,
|
| 562 |
+
"loss": 2.3728,
|
| 563 |
+
"step": 78
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.00432710741085611,
|
| 567 |
+
"grad_norm": 4.745275497436523,
|
| 568 |
+
"learning_rate": 0.00019999960204586387,
|
| 569 |
+
"loss": 1.4758,
|
| 570 |
+
"step": 79
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.0043818809223859344,
|
| 574 |
+
"grad_norm": 5.046701431274414,
|
| 575 |
+
"learning_rate": 0.0001999995729420334,
|
| 576 |
+
"loss": 1.8066,
|
| 577 |
+
"step": 80
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.004436654433915758,
|
| 581 |
+
"grad_norm": 4.840040683746338,
|
| 582 |
+
"learning_rate": 0.0001999995729420334,
|
| 583 |
+
"loss": 2.5664,
|
| 584 |
+
"step": 81
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.004491427945445582,
|
| 588 |
+
"grad_norm": 8.423829078674316,
|
| 589 |
+
"learning_rate": 0.00019999955839011818,
|
| 590 |
+
"loss": 4.6944,
|
| 591 |
+
"step": 82
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.004546201456975407,
|
| 595 |
+
"grad_norm": 3.6969454288482666,
|
| 596 |
+
"learning_rate": 0.00019999952928628772,
|
| 597 |
+
"loss": 1.9163,
|
| 598 |
+
"step": 83
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.004600974968505231,
|
| 602 |
+
"grad_norm": 8.3900785446167,
|
| 603 |
+
"learning_rate": 0.0001999995147343725,
|
| 604 |
+
"loss": 1.2402,
|
| 605 |
+
"step": 84
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.0046557484800350555,
|
| 609 |
+
"grad_norm": 7.6708269119262695,
|
| 610 |
+
"learning_rate": 0.00019999950018245727,
|
| 611 |
+
"loss": 1.3891,
|
| 612 |
+
"step": 85
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.004710521991564879,
|
| 616 |
+
"grad_norm": 4.737713813781738,
|
| 617 |
+
"learning_rate": 0.00019999948563054204,
|
| 618 |
+
"loss": 2.5931,
|
| 619 |
+
"step": 86
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.004765295503094703,
|
| 623 |
+
"grad_norm": 9.408939361572266,
|
| 624 |
+
"learning_rate": 0.00019999945652671158,
|
| 625 |
+
"loss": 2.3207,
|
| 626 |
+
"step": 87
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.004820069014624528,
|
| 630 |
+
"grad_norm": 4.382488250732422,
|
| 631 |
+
"learning_rate": 0.00019999944197479635,
|
| 632 |
+
"loss": 2.2336,
|
| 633 |
+
"step": 88
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.004874842526154352,
|
| 637 |
+
"grad_norm": 4.295185089111328,
|
| 638 |
+
"learning_rate": 0.00019999942742288113,
|
| 639 |
+
"loss": 1.5363,
|
| 640 |
+
"step": 89
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.004929616037684176,
|
| 644 |
+
"grad_norm": 5.823575019836426,
|
| 645 |
+
"learning_rate": 0.00019999939831905067,
|
| 646 |
+
"loss": 1.7304,
|
| 647 |
+
"step": 90
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.004984389549214,
|
| 651 |
+
"grad_norm": 9.16861343383789,
|
| 652 |
+
"learning_rate": 0.00019999938376713544,
|
| 653 |
+
"loss": 3.1967,
|
| 654 |
+
"step": 91
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.005039163060743824,
|
| 658 |
+
"grad_norm": 6.002506256103516,
|
| 659 |
+
"learning_rate": 0.0001999993692152202,
|
| 660 |
+
"loss": 2.3385,
|
| 661 |
+
"step": 92
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.005093936572273648,
|
| 665 |
+
"grad_norm": 9.674535751342773,
|
| 666 |
+
"learning_rate": 0.00019999934011138976,
|
| 667 |
+
"loss": 3.4634,
|
| 668 |
+
"step": 93
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.005148710083803473,
|
| 672 |
+
"grad_norm": 5.63020133972168,
|
| 673 |
+
"learning_rate": 0.0001999993110075593,
|
| 674 |
+
"loss": 1.0089,
|
| 675 |
+
"step": 94
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.005203483595333297,
|
| 679 |
+
"grad_norm": 14.6937894821167,
|
| 680 |
+
"learning_rate": 0.00019999929645564407,
|
| 681 |
+
"loss": 1.7225,
|
| 682 |
+
"step": 95
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.005258257106863121,
|
| 686 |
+
"grad_norm": 8.6484956741333,
|
| 687 |
+
"learning_rate": 0.00019999928190372884,
|
| 688 |
+
"loss": 2.2635,
|
| 689 |
+
"step": 96
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.005313030618392945,
|
| 693 |
+
"grad_norm": 2.430532217025757,
|
| 694 |
+
"learning_rate": 0.00019999925279989839,
|
| 695 |
+
"loss": 1.943,
|
| 696 |
+
"step": 97
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.005367804129922769,
|
| 700 |
+
"grad_norm": 11.094538688659668,
|
| 701 |
+
"learning_rate": 0.00019999923824798316,
|
| 702 |
+
"loss": 3.1786,
|
| 703 |
+
"step": 98
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.005422577641452594,
|
| 707 |
+
"grad_norm": 8.20773696899414,
|
| 708 |
+
"learning_rate": 0.0001999992091441527,
|
| 709 |
+
"loss": 3.7003,
|
| 710 |
+
"step": 99
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.005477351152982418,
|
| 714 |
+
"grad_norm": 8.1862211227417,
|
| 715 |
+
"learning_rate": 0.00019999918004032224,
|
| 716 |
+
"loss": 1.7666,
|
| 717 |
+
"step": 100
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.005477351152982418,
|
| 721 |
+
"eval_loss": 1.8293787240982056,
|
| 722 |
+
"eval_runtime": 45.7958,
|
| 723 |
+
"eval_samples_per_second": 2.009,
|
| 724 |
+
"eval_steps_per_second": 2.009,
|
| 725 |
+
"step": 100
|
| 726 |
+
}
|
| 727 |
+
],
|
| 728 |
+
"logging_steps": 1,
|
| 729 |
+
"max_steps": 54771,
|
| 730 |
+
"num_input_tokens_seen": 0,
|
| 731 |
+
"num_train_epochs": 3,
|
| 732 |
+
"save_steps": 100,
|
| 733 |
+
"stateful_callbacks": {
|
| 734 |
+
"EarlyStoppingCallback": {
|
| 735 |
+
"args": {
|
| 736 |
+
"early_stopping_patience": 4,
|
| 737 |
+
"early_stopping_threshold": 0.0
|
| 738 |
+
},
|
| 739 |
+
"attributes": {
|
| 740 |
+
"early_stopping_patience_counter": 0
|
| 741 |
+
}
|
| 742 |
+
},
|
| 743 |
+
"TrainerControl": {
|
| 744 |
+
"args": {
|
| 745 |
+
"should_epoch_stop": false,
|
| 746 |
+
"should_evaluate": false,
|
| 747 |
+
"should_log": false,
|
| 748 |
+
"should_save": true,
|
| 749 |
+
"should_training_stop": false
|
| 750 |
+
},
|
| 751 |
+
"attributes": {}
|
| 752 |
+
}
|
| 753 |
+
},
|
| 754 |
+
"total_flos": 2313777284382720.0,
|
| 755 |
+
"train_batch_size": 1,
|
| 756 |
+
"trial_name": null,
|
| 757 |
+
"trial_params": null
|
| 758 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36c47ef7f97d24e7c91b8cbe6a7c2e5c69add517277b62b4b27d4db8b33a9086
|
| 3 |
+
size 6776
|