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--- |
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license: bigcode-openrail-m |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: bigcode/starcoderbase-1b |
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model-index: |
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- name: peft-lora-starcoder1B-Instruction-ny8-FIM |
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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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# peft-lora-starcoder1B-Instruction-ny8-FIM |
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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: 0.7334 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 30 |
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- training_steps: 2000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4136 | 0.05 | 100 | 0.4006 | |
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| 0.3674 | 0.1 | 200 | 0.3744 | |
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| 0.3428 | 0.15 | 300 | 0.3908 | |
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| 0.2882 | 0.2 | 400 | 0.4563 | |
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| 0.2344 | 0.25 | 500 | 0.5462 | |
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| 0.2087 | 0.3 | 600 | 0.5874 | |
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| 0.1942 | 0.35 | 700 | 0.6157 | |
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| 0.1865 | 0.4 | 800 | 0.6388 | |
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| 0.1813 | 0.45 | 900 | 0.6572 | |
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| 0.1783 | 0.5 | 1000 | 0.6639 | |
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| 0.1711 | 0.55 | 1100 | 0.6755 | |
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| 0.166 | 0.6 | 1200 | 0.6996 | |
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| 0.1613 | 0.65 | 1300 | 0.7046 | |
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| 0.1597 | 0.7 | 1400 | 0.7062 | |
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| 0.1545 | 0.75 | 1500 | 0.7185 | |
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| 0.1532 | 0.8 | 1600 | 0.7227 | |
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| 0.1499 | 0.85 | 1700 | 0.7315 | |
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| 0.151 | 0.9 | 1800 | 0.7326 | |
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| 0.1494 | 0.95 | 1900 | 0.7333 | |
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| 0.1506 | 1.0 | 2000 | 0.7334 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |