Training in progress, step 169, checkpoint
Browse files- .gitattributes +1 -0
- last-checkpoint/README.md +209 -0
- last-checkpoint/adapter_config.json +47 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/chat_template.jinja +86 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +12 -0
- last-checkpoint/trainer_state.json +364 -0
- last-checkpoint/training_args.bin +3 -0
.gitattributes
CHANGED
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/README.md
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| 1 |
+
---
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| 2 |
+
base_model: zai-org/GLM-4.7-Flash
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| 3 |
+
library_name: peft
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pipeline_tag: text-generation
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tags:
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+
- base_model:adapter:zai-org/GLM-4.7-Flash
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| 7 |
+
- lora
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| 8 |
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- sft
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| 9 |
+
- transformers
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| 10 |
+
- trl
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
# Model Card for Model ID
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| 14 |
+
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| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
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| 17 |
+
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| 18 |
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| 19 |
+
## Model Details
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| 20 |
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| 21 |
+
### Model Description
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| 22 |
+
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| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
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| 25 |
+
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| 26 |
+
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| 27 |
+
- **Developed by:** [More Information Needed]
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| 28 |
+
- **Funded by [optional]:** [More Information Needed]
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| 29 |
+
- **Shared by [optional]:** [More Information Needed]
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| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 68 |
+
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| 69 |
+
[More Information Needed]
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| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
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| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
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| 88 |
+
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| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
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#### Preprocessing [optional]
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| 96 |
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|
| 97 |
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[More Information Needed]
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| 98 |
+
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| 99 |
+
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| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
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| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
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| 108 |
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[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
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| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
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| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
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| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
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| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
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| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
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| 132 |
+
[More Information Needed]
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| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
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| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
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## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
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| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
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| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
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| 172 |
+
[More Information Needed]
|
| 173 |
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| 174 |
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#### Software
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| 175 |
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| 176 |
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[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
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| 179 |
+
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| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
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| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
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[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
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| 194 |
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[More Information Needed]
|
| 195 |
+
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| 196 |
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## More Information [optional]
|
| 197 |
+
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| 198 |
+
[More Information Needed]
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| 199 |
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| 200 |
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## Model Card Authors [optional]
|
| 201 |
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| 202 |
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[More Information Needed]
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| 203 |
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| 204 |
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## Model Card Contact
|
| 205 |
+
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| 206 |
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[More Information Needed]
|
| 207 |
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### Framework versions
|
| 208 |
+
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| 209 |
+
- PEFT 0.18.1
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,47 @@
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "zai-org/GLM-4.7-Flash",
|
| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
|
| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
|
| 14 |
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"init_lora_weights": true,
|
| 15 |
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"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 128,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.05,
|
| 22 |
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"megatron_config": null,
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| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
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"modules_to_save": null,
|
| 25 |
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"peft_type": "LORA",
|
| 26 |
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"peft_version": "0.18.1",
|
| 27 |
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"qalora_group_size": 16,
|
| 28 |
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"r": 64,
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| 29 |
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"rank_pattern": {},
|
| 30 |
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"revision": null,
|
| 31 |
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"target_modules": [
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| 32 |
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"gate_proj",
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| 33 |
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"down_proj",
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| 34 |
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"q_b_proj",
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| 35 |
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"kv_b_proj",
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| 36 |
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"o_proj",
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| 37 |
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"kv_a_proj_with_mqa",
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| 38 |
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"up_proj",
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| 39 |
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"q_a_proj"
|
| 40 |
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],
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| 41 |
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"target_parameters": null,
|
| 42 |
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"task_type": "CAUSAL_LM",
|
| 43 |
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"trainable_token_indices": null,
|
| 44 |
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"use_dora": false,
|
| 45 |
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"use_qalora": false,
|
| 46 |
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"use_rslora": false
|
| 47 |
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e404b91cea08e72c5cda94d9138c5397548c055f8318228c2a6e4c3e68826174
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| 3 |
+
size 236389544
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last-checkpoint/chat_template.jinja
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[gMASK]<sop>
|
| 2 |
+
{%- if tools -%}
|
| 3 |
+
<|system|>
|
| 4 |
+
# Tools
|
| 5 |
+
|
| 6 |
+
You may call one or more functions to assist with the user query.
|
| 7 |
+
|
| 8 |
+
You are provided with function signatures within <tools></tools> XML tags:
|
| 9 |
+
<tools>
|
| 10 |
+
{% for tool in tools %}
|
| 11 |
+
{{ tool | tojson(ensure_ascii=False) }}
|
| 12 |
+
{% endfor %}
|
| 13 |
+
</tools>
|
| 14 |
+
|
| 15 |
+
For each function call, output the function name and arguments within the following XML format:
|
| 16 |
+
<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
|
| 17 |
+
{%- macro visible_text(content) -%}
|
| 18 |
+
{%- if content is string -%}
|
| 19 |
+
{{- content }}
|
| 20 |
+
{%- elif content is iterable and content is not mapping -%}
|
| 21 |
+
{%- for item in content -%}
|
| 22 |
+
{%- if item is mapping and item.type == 'text' -%}
|
| 23 |
+
{{- item.text }}
|
| 24 |
+
{%- elif item is string -%}
|
| 25 |
+
{{- item }}
|
| 26 |
+
{%- endif -%}
|
| 27 |
+
{%- endfor -%}
|
| 28 |
+
{%- else -%}
|
| 29 |
+
{{- content }}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{%- endmacro -%}
|
| 32 |
+
{%- set ns = namespace(last_user_index=-1) %}
|
| 33 |
+
{%- for m in messages %}
|
| 34 |
+
{%- if m.role == 'user' %}
|
| 35 |
+
{% set ns.last_user_index = loop.index0 -%}
|
| 36 |
+
{%- endif %}
|
| 37 |
+
{%- endfor %}
|
| 38 |
+
{% for m in messages %}
|
| 39 |
+
{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
|
| 40 |
+
{%- elif m.role == 'assistant' -%}
|
| 41 |
+
<|assistant|>
|
| 42 |
+
{%- set reasoning_content = '' %}
|
| 43 |
+
{%- set content = visible_text(m.content) %}
|
| 44 |
+
{%- if m.reasoning_content is string %}
|
| 45 |
+
{%- set reasoning_content = m.reasoning_content %}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{%- if '</think>' in content %}
|
| 48 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 49 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
|
| 53 |
+
{{ '<think>' + reasoning_content.strip() + '</think>'}}
|
| 54 |
+
{%- else -%}
|
| 55 |
+
{{ '</think>' }}
|
| 56 |
+
{%- endif -%}
|
| 57 |
+
{%- if content.strip() -%}
|
| 58 |
+
{{ content.strip() }}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{% if m.tool_calls %}
|
| 61 |
+
{% for tc in m.tool_calls %}
|
| 62 |
+
{%- if tc.function %}
|
| 63 |
+
{%- set tc = tc.function %}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
{{- '<tool_call>' + tc.name -}}
|
| 66 |
+
{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
|
| 67 |
+
{% endif %}
|
| 68 |
+
{%- elif m.role == 'tool' -%}
|
| 69 |
+
{%- if m.content is string -%}
|
| 70 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 71 |
+
{{- '<|observation|>' }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{{- '<tool_response>' }}
|
| 74 |
+
{{- m.content }}
|
| 75 |
+
{{- '</tool_response>' }}
|
| 76 |
+
{%- else -%}
|
| 77 |
+
<|observation|>{% for tr in m.content %}
|
| 78 |
+
<tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
|
| 79 |
+
{% endif -%}
|
| 80 |
+
{%- elif m.role == 'system' -%}
|
| 81 |
+
<|system|>{{ visible_text(m.content) }}
|
| 82 |
+
{%- endif -%}
|
| 83 |
+
{%- endfor -%}
|
| 84 |
+
{%- if add_generation_prompt -%}
|
| 85 |
+
<|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
|
| 86 |
+
{%- endif -%}
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1176c8d9cecc24c216e125ca7cc7a1b14c2fee99b954190cd7245b6dcae1792a
|
| 3 |
+
size 240874725
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9918e6d1a0afbe4e9d538617ce98ca4a6059be5bd22c39eb10e1390ccadd7433
|
| 3 |
+
size 14645
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02ec735958f5bba56c56e2d15fc49fe0de85ab6158c1f1f7f99f65e0d80771d8
|
| 3 |
+
size 1465
|
last-checkpoint/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
|
| 3 |
+
size 20217442
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"clean_up_tokenization_spaces": false,
|
| 4 |
+
"do_lower_case": false,
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"model_max_length": 128000,
|
| 8 |
+
"pad_token": "<|endoftext|>",
|
| 9 |
+
"padding_side": "left",
|
| 10 |
+
"remove_space": false,
|
| 11 |
+
"tokenizer_class": "TokenizersBackend"
|
| 12 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,364 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.5026022304832714,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 169,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.2208438903093337,
|
| 14 |
+
"epoch": 0.01486988847583643,
|
| 15 |
+
"grad_norm": 0.55859375,
|
| 16 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 17 |
+
"loss": 2.118885803222656,
|
| 18 |
+
"mean_token_accuracy": 0.5921677611768246,
|
| 19 |
+
"num_tokens": 162022.0,
|
| 20 |
+
"step": 5
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.2382806837558746,
|
| 24 |
+
"epoch": 0.02973977695167286,
|
| 25 |
+
"grad_norm": 0.08056640625,
|
| 26 |
+
"learning_rate": 3.6e-05,
|
| 27 |
+
"loss": 1.6261102676391601,
|
| 28 |
+
"mean_token_accuracy": 0.647309884428978,
|
| 29 |
+
"num_tokens": 324206.0,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.5387765020132065,
|
| 34 |
+
"epoch": 0.04460966542750929,
|
| 35 |
+
"grad_norm": 0.07470703125,
|
| 36 |
+
"learning_rate": 5.6000000000000006e-05,
|
| 37 |
+
"loss": 1.5022705078125,
|
| 38 |
+
"mean_token_accuracy": 0.6562040001153946,
|
| 39 |
+
"num_tokens": 486182.0,
|
| 40 |
+
"step": 15
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.479974600672722,
|
| 44 |
+
"epoch": 0.05947955390334572,
|
| 45 |
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"grad_norm": 0.0703125,
|
| 46 |
+
"learning_rate": 7.6e-05,
|
| 47 |
+
"loss": 1.3166878700256348,
|
| 48 |
+
"mean_token_accuracy": 0.6958272859454155,
|
| 49 |
+
"num_tokens": 648008.0,
|
| 50 |
+
"step": 20
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.048148949444294,
|
| 54 |
+
"epoch": 0.07434944237918216,
|
| 55 |
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"grad_norm": 0.0751953125,
|
| 56 |
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"learning_rate": 9.6e-05,
|
| 57 |
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"loss": 1.0947124481201171,
|
| 58 |
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"mean_token_accuracy": 0.7425475120544434,
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