0110fd8e-3362-4683-b0d3-82d7191ac1e4
This model is a fine-tuned version of unsloth/OpenHermes-2.5-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2660
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: 0.000212
- 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 | 0.0001 | 1 | 2.1482 |
| 3.0703 | 0.0033 | 50 | 1.2389 |
| 2.9545 | 0.0065 | 100 | 1.4462 |
| 2.8028 | 0.0098 | 150 | 1.3436 |
| 3.1653 | 0.0130 | 200 | 1.2660 |
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 lesso12/0110fd8e-3362-4683-b0d3-82d7191ac1e4
Base model
unsloth/OpenHermes-2.5-Mistral-7B