mistral_channel_targeter
This model is a fine-tuned version of BioMistral/BioMistral-7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0708
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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0526 | 1.0 | 159 | 0.0547 |
| 0.0421 | 2.0 | 318 | 0.0447 |
| 0.0285 | 3.0 | 477 | 0.0385 |
| 0.0165 | 4.0 | 636 | 0.0465 |
| 0.0021 | 5.0 | 795 | 0.0659 |
| 0.0008 | 6.0 | 954 | 0.0708 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2