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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-the-stack-clojure |
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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-the-stack-clojure |
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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: 1.0438 |
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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: 4 |
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- total_train_batch_size: 8 |
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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: 10000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.159 | 0.05 | 500 | 1.5544 | |
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| 1.4518 | 0.1 | 1000 | 1.3701 | |
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| 1.1784 | 0.15 | 1500 | 1.3310 | |
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| 1.368 | 0.2 | 2000 | 1.3002 | |
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| 1.294 | 0.25 | 2500 | 1.2724 | |
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| 0.7621 | 0.3 | 3000 | 1.2797 | |
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| 5.814 | 0.35 | 3500 | 1.2319 | |
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| 1.2988 | 0.4 | 4000 | 1.2046 | |
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| 1.4857 | 0.45 | 4500 | 1.1686 | |
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| 1.0061 | 0.5 | 5000 | 1.1491 | |
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| 1.0453 | 0.55 | 5500 | 1.1284 | |
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| 1.1512 | 0.6 | 6000 | 1.1078 | |
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| 1.2116 | 0.65 | 6500 | 1.0932 | |
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| 1.153 | 0.7 | 7000 | 1.0755 | |
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| 1.1387 | 0.75 | 7500 | 1.0651 | |
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| 1.2935 | 0.8 | 8000 | 1.0586 | |
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| 0.6611 | 0.85 | 8500 | 1.0494 | |
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| 0.0372 | 0.9 | 9000 | 1.0470 | |
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| 1.1234 | 0.95 | 9500 | 1.0440 | |
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| 1.021 | 1.0 | 10000 | 1.0438 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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