7bbb81ef-7bf3-40c2-b0e7-3e841a6ad6fc
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3252
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: 0.000202
- 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: 297
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0034 | 1 | 2.6238 |
| 2.9901 | 0.1686 | 50 | 1.5564 |
| 3.0308 | 0.3373 | 100 | 1.7023 |
| 3.0271 | 0.5059 | 150 | 1.5607 |
| 2.8491 | 0.6745 | 200 | 1.4016 |
| 2.7596 | 0.8432 | 250 | 1.3252 |
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-instruct-v0.2