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--- |
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library_name: peft |
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license: bigcode-openrail-m |
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base_model: bigcode/starcoderbase-1b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: starcoder-peft-airscript |
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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-peft-airscript |
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7248 |
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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: 0.0005 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 20 |
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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: 30 |
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- training_steps: 1600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.2597 | 0.0625 | 100 | 1.1604 | |
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| 0.9591 | 0.125 | 200 | 0.9402 | |
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| 0.8109 | 0.1875 | 300 | 0.8431 | |
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| 0.7151 | 0.25 | 400 | 0.7917 | |
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| 0.6362 | 0.3125 | 500 | 0.7607 | |
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| 0.5759 | 0.375 | 600 | 0.7401 | |
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| 0.5284 | 0.4375 | 700 | 0.7334 | |
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| 0.4926 | 0.5 | 800 | 0.7252 | |
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| 0.4616 | 0.5625 | 900 | 0.7212 | |
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| 0.4369 | 0.625 | 1000 | 0.7236 | |
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| 0.4111 | 0.6875 | 1100 | 0.7255 | |
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| 0.3969 | 0.75 | 1200 | 0.7236 | |
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| 0.3855 | 0.8125 | 1300 | 0.7260 | |
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| 0.3822 | 0.875 | 1400 | 0.7262 | |
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| 0.3768 | 0.9375 | 1500 | 0.7256 | |
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| 0.3778 | 1.0 | 1600 | 0.7248 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
