vistral-7B_finetuned_A100_April24th
This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1997
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.7221 | 1.0 | 79685 | 0.5586 |
0.467 | 2.0 | 159370 | 0.3150 |
0.3586 | 3.0 | 239055 | 0.2440 |
0.2954 | 4.0 | 318740 | 0.2116 |
0.2556 | 5.0 | 398425 | 0.1997 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Kudod/vistral-7B_finetuned_A100_April24th
Base model
Viet-Mistral/Vistral-7B-Chat