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--- |
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license: openrail |
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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-xlcost-python |
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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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# santacoder-finetuned-xlcost-python |
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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: 1.4779 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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| 0.6748 | 0.1 | 500 | 0.8333 | |
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| 0.3933 | 0.2 | 1000 | 0.9118 | |
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| 0.2243 | 0.3 | 1500 | 1.0523 | |
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| 0.1497 | 0.4 | 2000 | 1.1595 | |
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| 0.1099 | 0.5 | 2500 | 1.2568 | |
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| 0.0852 | 0.6 | 3000 | 1.2997 | |
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| 0.0761 | 0.7 | 3500 | 1.3693 | |
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| 0.0757 | 0.8 | 4000 | 1.3683 | |
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| 0.0545 | 0.9 | 4500 | 1.4053 | |
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| 0.0634 | 1.0 | 5000 | 1.4150 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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