mistral-lora-Amis
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: nan
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 |
|---|---|---|---|
| 1.3285 | 1.0 | 408 | 1.3871 |
| 1.1797 | 2.0 | 816 | 1.3394 |
| 1.2061 | 3.0 | 1224 | 1.3214 |
| 1.0739 | 4.0 | 1632 | 1.3394 |
| 1.0842 | 5.0 | 2040 | 1.3680 |
| 6.6147 | 6.0 | 2448 | nan |
Framework versions
- PEFT 0.15.0
- Transformers 4.50.1
- Pytorch 2.2.0+cu121
- Datasets 3.4.1
- Tokenizers 0.21.1
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Model tree for aslinguist/mistral-lora-Amis
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3