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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-robot3 |
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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-robot3 |
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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: 0.5689 |
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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: 1 |
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- training_steps: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.05 | 1 | 1.6250 | |
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| No log | 0.1 | 2 | 2.1620 | |
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| No log | 0.15 | 3 | 1.7060 | |
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| No log | 0.2 | 4 | 1.7167 | |
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| No log | 0.25 | 5 | 1.0462 | |
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| No log | 0.3 | 6 | 1.2153 | |
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| No log | 0.35 | 7 | 1.0301 | |
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| No log | 0.4 | 8 | 0.9399 | |
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| No log | 0.45 | 9 | 1.0030 | |
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| 1.4139 | 0.5 | 10 | 0.8322 | |
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| 1.4139 | 0.55 | 11 | 0.7111 | |
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| 1.4139 | 0.6 | 12 | 0.7151 | |
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| 1.4139 | 0.65 | 13 | 0.6482 | |
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| 1.4139 | 0.7 | 14 | 0.6228 | |
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| 1.4139 | 0.75 | 15 | 0.6105 | |
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| 1.4139 | 0.8 | 16 | 0.5827 | |
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| 1.4139 | 0.85 | 17 | 0.5791 | |
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| 1.4139 | 0.9 | 18 | 0.5726 | |
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| 1.4139 | 0.95 | 19 | 0.5696 | |
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| 0.5282 | 1.0 | 20 | 0.5689 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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