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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: santacoder-finetuned-the-stack-bash |
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results: [] |
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--- |
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# santacoder-finetuned-the-stack-bash |
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This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on the dbrief dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9406 |
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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: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.1768 | 0.1 | 500 | 1.6939 | |
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| 2.8451 | 0.2 | 1000 | 2.0221 | |
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| 3.0141 | 0.3 | 1500 | 2.1031 | |
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| 2.7306 | 0.4 | 2000 | 2.1053 | |
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| 2.3385 | 0.5 | 2500 | 2.0770 | |
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| 1.981 | 0.6 | 3000 | 0.9364 | |
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| 1.6687 | 0.7 | 3500 | 0.9637 | |
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| 1.2663 | 0.8 | 4000 | 0.9459 | |
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| 1.7485 | 0.9 | 4500 | 0.9428 | |
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| 1.9006 | 1.0 | 5000 | 0.9406 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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