07e56a3e-6e01-4702-96cc-ea5fbb167551
This model is a fine-tuned version of unsloth/mistral-7b-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2293
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 | 0.0006 | 1 | 1.3758 |
| 1.5072 | 0.0290 | 50 | 0.7718 |
| 1.3911 | 0.0579 | 100 | 0.9510 |
| 1.3764 | 0.0869 | 150 | 0.6558 |
| 1.2796 | 0.1159 | 200 | 0.5754 |
| 1.1094 | 0.1448 | 250 | 0.5156 |
| 0.9229 | 0.1738 | 300 | 0.4519 |
| 1.0099 | 0.2028 | 350 | 0.3315 |
| 0.8079 | 0.2317 | 400 | 0.2583 |
| 0.7439 | 0.2607 | 450 | 0.2330 |
| 0.685 | 0.2897 | 500 | 0.2293 |
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 lesso11/07e56a3e-6e01-4702-96cc-ea5fbb167551
Base model
unsloth/mistral-7b-v0.3