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--- |
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license: bigcode-openrail-m |
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base_model: bigcode/santacoder |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: '10032023' |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# 10032023 |
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This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2642 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6282 | 0.05 | 200 | 0.4105 | |
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| 1.7635 | 0.1 | 400 | 0.5228 | |
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| 1.7029 | 0.15 | 600 | 0.8193 | |
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| 1.6817 | 0.2 | 800 | 1.6320 | |
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| 1.6822 | 0.25 | 1000 | 2.8463 | |
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| 1.671 | 0.3 | 1200 | 3.4860 | |
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| 1.6698 | 0.35 | 1400 | 4.1775 | |
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| 1.6631 | 0.4 | 1600 | 5.2973 | |
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| 1.663 | 0.45 | 1800 | 5.8655 | |
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| 1.6599 | 0.5 | 2000 | 5.8967 | |
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| 1.6595 | 0.55 | 2200 | 0.2873 | |
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| 1.6586 | 0.6 | 2400 | 0.3041 | |
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| 1.6564 | 0.65 | 2600 | 0.3210 | |
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| 1.658 | 0.7 | 2800 | 0.3262 | |
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| 1.6549 | 0.75 | 3000 | 0.3136 | |
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| 1.6498 | 0.8 | 3200 | 0.3232 | |
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| 1.6462 | 0.85 | 3400 | 0.3195 | |
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| 1.6454 | 0.9 | 3600 | 0.3216 | |
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| 0.2173 | 0.95 | 3800 | 0.2726 | |
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| 1.6619 | 1.0 | 4000 | 0.2642 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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