mixtral_no_robots_english
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6330
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.5367 | 0.12 | 100 | 1.6497 |
1.3317 | 0.24 | 200 | 1.6421 |
1.5705 | 0.37 | 300 | 1.6422 |
1.6507 | 0.49 | 400 | 1.6403 |
1.6448 | 0.61 | 500 | 1.6350 |
1.5865 | 0.73 | 600 | 1.6352 |
1.4248 | 0.86 | 700 | 1.6340 |
1.3588 | 0.98 | 800 | 1.6330 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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