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peft-starcoder2-3b-300steps
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5512
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7386 | 0.3333 | 100 | 0.5461 |
| 0.8402 | 0.6667 | 200 | 0.5518 |
| 0.7561 | 1.0 | 300 | 0.5512 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
bigcode/starcoder2-3b