e6a949ea-fcbf-4c1d-9e3e-d3eca14264fb
This model is a fine-tuned version of unsloth/mistral-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4941
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- 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 | 0.0002 | 1 | 1.1299 |
| 1.4174 | 0.0094 | 50 | 0.8886 |
| 1.4727 | 0.0188 | 100 | 0.8389 |
| 1.4468 | 0.0283 | 150 | 0.8174 |
| 1.2786 | 0.0377 | 200 | 0.7376 |
| 1.2386 | 0.0471 | 250 | 0.7055 |
| 1.2211 | 0.0565 | 300 | 0.6229 |
| 1.1467 | 0.0660 | 350 | 0.5778 |
| 1.0895 | 0.0754 | 400 | 0.5235 |
| 1.026 | 0.0848 | 450 | 0.4988 |
| 1.042 | 0.0942 | 500 | 0.4941 |
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/mistral-7b