mixtral_niki_3
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4987
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: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5491 | 0.4348 | 10 | 1.5602 |
| 1.5241 | 0.8696 | 20 | 1.5438 |
| 1.4999 | 1.3043 | 30 | 1.5274 |
| 1.4915 | 1.7391 | 40 | 1.5139 |
| 1.4987 | 2.1739 | 50 | 1.5043 |
| 1.4681 | 2.6087 | 60 | 1.4987 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
mistralai/Mixtral-8x7B-v0.1