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--- |
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base_model: bigcode/starcoder |
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library_name: peft |
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license: bigcode-openrail-m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: starcoder-adb-sdk |
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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-adb-sdk |
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This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3868 |
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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: 0.0003 |
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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: 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_ratio: 0.1 |
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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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| 0.2629 | 0.05 | 100 | 0.7794 | |
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| 0.0853 | 0.1 | 200 | 1.0164 | |
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| 0.0548 | 0.15 | 300 | 1.1201 | |
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| 0.0409 | 0.2 | 400 | 1.1509 | |
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| 0.0372 | 0.25 | 500 | 1.1885 | |
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| 0.0346 | 0.3 | 600 | 1.2198 | |
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| 0.0299 | 0.35 | 700 | 1.2742 | |
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| 0.0288 | 0.4 | 800 | 1.2339 | |
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| 0.0264 | 0.45 | 900 | 1.2372 | |
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| 0.028 | 0.5 | 1000 | 1.3072 | |
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| 0.0278 | 0.55 | 1100 | 1.3365 | |
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| 0.023 | 0.6 | 1200 | 1.3397 | |
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| 0.0253 | 0.65 | 1300 | 1.2971 | |
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| 0.0242 | 0.7 | 1400 | 1.3585 | |
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| 0.0228 | 0.75 | 1500 | 1.3603 | |
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| 0.0206 | 0.8 | 1600 | 1.3733 | |
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| 0.0209 | 0.85 | 1700 | 1.3809 | |
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| 0.0226 | 0.9 | 1800 | 1.3890 | |
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| 0.0225 | 0.95 | 1900 | 1.3855 | |
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| 0.024 | 1.0 | 2000 | 1.3868 | |
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### Framework versions |
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- PEFT 0.13.3.dev0 |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
