peft-starcoder-lora-a100
This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.1829
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.059 | 0.2 | 100 | 8.2764 |
| 6.3966 | 0.4 | 200 | 8.6218 |
| 6.1722 | 0.6 | 300 | 8.7766 |
| 7.2409 | 0.8 | 400 | 8.3845 |
| 6.9695 | 1.0 | 500 | 8.1829 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for m0kr4n3/peft-starcoder-lora-a100
Base model
bigcode/starcoderbase-1b