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--- |
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library_name: transformers |
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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: peft-starcoder-finetuned |
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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-starcoder-finetuned |
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5923 |
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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: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5622 | 0.1992 | 100 | 1.2485 | |
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| 0.4589 | 0.3984 | 200 | 1.2126 | |
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| 0.4216 | 0.5976 | 300 | 1.2730 | |
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| 0.3743 | 0.7968 | 400 | 1.2278 | |
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| 0.3535 | 0.9960 | 500 | 1.2615 | |
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| 0.3011 | 1.1952 | 600 | 1.2960 | |
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| 0.2653 | 1.3944 | 700 | 1.3112 | |
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| 0.2734 | 1.5936 | 800 | 1.3759 | |
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| 0.2855 | 1.7928 | 900 | 1.3015 | |
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| 0.2528 | 1.9920 | 1000 | 1.3470 | |
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| 0.2083 | 2.1912 | 1100 | 1.4719 | |
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| 0.2318 | 2.3904 | 1200 | 1.4494 | |
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| 0.1935 | 2.5896 | 1300 | 1.4621 | |
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| 0.1809 | 2.7888 | 1400 | 1.4829 | |
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| 0.227 | 2.9880 | 1500 | 1.4911 | |
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| 0.1813 | 3.1873 | 1600 | 1.5903 | |
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| 0.1893 | 3.3865 | 1700 | 1.5906 | |
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| 0.1674 | 3.5857 | 1800 | 1.5916 | |
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| 0.1723 | 3.7849 | 1900 | 1.5921 | |
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| 0.1843 | 3.9841 | 2000 | 1.5923 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.3 |
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