Mistral_Fin_test
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7940
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7911 | 0.4444 | 2 | 1.8302 |
| 1.7518 | 0.8889 | 4 | 1.8281 |
| 1.7608 | 1.3333 | 6 | 1.8225 |
| 1.7698 | 1.7778 | 8 | 1.8112 |
| 1.7726 | 2.2222 | 10 | 1.7940 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for magniolia/Mistral_Fin_test
Base model
mistralai/Mistral-7B-Instruct-v0.2