Mistral-7B-v0.1-oasst-top1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8934
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8235 | 1.0 | 50 | 2.2676 |
1.2795 | 2.0 | 100 | 2.4106 |
0.9641 | 3.0 | 150 | 2.7605 |
0.4394 | 4.0 | 200 | 2.8580 |
0.4801 | 5.0 | 250 | 2.8934 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 5
Model tree for andreaschandra/Mistral-7B-v0.1-oasst-top1
Base model
mistralai/Mistral-7B-v0.1