ebf49ab7-f89b-4e6a-b5b6-7c9f6466e27c
This model is a fine-tuned version of unsloth/mistral-7b-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8634
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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- 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 | 0.0005 | 1 | 3.8445 |
| 2.9324 | 0.0271 | 50 | 3.0242 |
| 3.2723 | 0.0543 | 100 | 2.3571 |
| 3.0635 | 0.0814 | 150 | 2.0274 |
| 4.7947 | 0.1085 | 200 | 1.5986 |
| 2.3622 | 0.1356 | 250 | 1.5911 |
| 2.6259 | 0.1628 | 300 | 1.2451 |
| 1.6583 | 0.1899 | 350 | 1.1302 |
| 1.8973 | 0.2170 | 400 | 0.9359 |
| 1.8216 | 0.2442 | 450 | 0.8727 |
| 1.3534 | 0.2713 | 500 | 0.8634 |
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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Model tree for lesso11/ebf49ab7-f89b-4e6a-b5b6-7c9f6466e27c
Base model
unsloth/mistral-7b-v0.2