Mistral-7B-Instruct-EI-Iter3
This model is a fine-tuned version of checkpoints/Mistral-7B-Instruct-EI-Iter2 on the synthetic_data_mistral-7b-instruct-expert-iteration-iter3_score dataset. It achieves the following results on the evaluation set:
- Loss: 0.4722
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6652 | 1.0 | 106 | 0.4722 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1