7f8c6402-0175-4ccc-8050-6482b7e1b5e9
This model is a fine-tuned version of unsloth/codellama-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2989
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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0000 | 1 | 3.1774 |
| 0.2098 | 0.0016 | 50 | 0.7175 |
| 0.3481 | 0.0031 | 100 | 1.0682 |
| 0.1008 | 0.0047 | 150 | 0.6632 |
| 0.1018 | 0.0062 | 200 | 0.6403 |
| 0.281 | 0.0078 | 250 | 1.3644 |
| 0.1618 | 0.0093 | 300 | 0.4401 |
| 0.1309 | 0.0109 | 350 | 2.2835 |
| 0.1837 | 0.0124 | 400 | 0.9272 |
| 0.2138 | 0.0140 | 450 | 0.3753 |
| 0.5455 | 0.0155 | 500 | 0.2989 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
unsloth/codellama-7b