538298b8-a799-4acd-8365-8be77ebcbbff
This model is a fine-tuned version of unsloth/llama-2-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4384
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: 215
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0047 | 1 | 0.7121 |
| 0.5501 | 0.2331 | 50 | 0.5635 |
| 0.4019 | 0.4662 | 100 | 0.5337 |
| 0.4958 | 0.6993 | 150 | 0.4842 |
| 0.5498 | 0.9324 | 200 | 0.4384 |
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/llama-2-7b