mistral-lora-Atayal-summarization
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6760
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7766 | 1.0 | 42 | 0.7314 |
| 0.6155 | 2.0 | 84 | 0.6536 |
| 0.5757 | 3.0 | 126 | 0.6236 |
| 0.4678 | 4.0 | 168 | 0.6027 |
| 0.3245 | 5.0 | 210 | 0.6264 |
| 0.2911 | 6.0 | 252 | 0.6567 |
| 0.2431 | 7.0 | 294 | 0.6760 |
Framework versions
- PEFT 0.15.0
- Transformers 4.51.2
- Pytorch 2.2.2+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for aslinguist/mistral-lora-Atayal-summarization
Base model
mistralai/Mistral-7B-v0.3
Finetuned
mistralai/Mistral-7B-Instruct-v0.3