| --- |
| license: openrail |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: santacoder-finetuned-xlcost-python |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # santacoder-finetuned-xlcost-python |
|
|
| This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4779 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 5000 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.6748 | 0.1 | 500 | 0.8333 | |
| | 0.3933 | 0.2 | 1000 | 0.9118 | |
| | 0.2243 | 0.3 | 1500 | 1.0523 | |
| | 0.1497 | 0.4 | 2000 | 1.1595 | |
| | 0.1099 | 0.5 | 2500 | 1.2568 | |
| | 0.0852 | 0.6 | 3000 | 1.2997 | |
| | 0.0761 | 0.7 | 3500 | 1.3693 | |
| | 0.0757 | 0.8 | 4000 | 1.3683 | |
| | 0.0545 | 0.9 | 4500 | 1.4053 | |
| | 0.0634 | 1.0 | 5000 | 1.4150 | |
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| ### Framework versions |
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| - Transformers 4.26.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
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