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mistral-finetune
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3252
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3784 | 1.0 | 201 | 0.3443 |
| 0.3315 | 2.0 | 402 | 0.3313 |
| 0.3043 | 3.0 | 603 | 0.3252 |
| 0.3079 | 4.0 | 804 | 0.3236 |
| 0.2966 | 5.0 | 1005 | 0.3252 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Ai-Marshal/mistral-finetune
Base model
mistralai/Mistral-7B-Instruct-v0.2