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--- |
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license: bigcode-openrail-m |
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base_model: bigcode/starcoder |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: starcoder-csharp2py-program1 |
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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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# starcoder-csharp2py-program1 |
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This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1145 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 15 |
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- training_steps: 150 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1293 | 0.17 | 25 | 0.1191 | |
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| 0.1173 | 0.33 | 50 | 0.1167 | |
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| 0.1175 | 0.5 | 75 | 0.1154 | |
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| 0.1166 | 0.67 | 100 | 0.1149 | |
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| 0.1194 | 0.83 | 125 | 0.1145 | |
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| 0.1162 | 1.06 | 150 | 0.1145 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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