Mixtral_Alpace_v2
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6342
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: 32
- 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
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8073 | 0.05 | 10 | 1.9071 |
| 1.7475 | 0.1 | 20 | 1.8399 |
| 1.7063 | 0.15 | 30 | 1.7673 |
| 1.6365 | 0.2 | 40 | 1.7175 |
| 1.6161 | 0.25 | 50 | 1.6894 |
| 1.6024 | 0.3 | 60 | 1.6687 |
| 1.6022 | 0.35 | 70 | 1.6535 |
| 1.5431 | 0.4 | 80 | 1.6428 |
| 1.5343 | 0.45 | 90 | 1.6364 |
| 1.5398 | 0.5 | 100 | 1.6342 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Base model
mistralai/Mixtral-8x7B-v0.1