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README.md
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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
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