| --- |
| license: other |
| base_model: TencentARC/Mistral_Pro_8B_v0.1 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: sft-4e-exp2 |
| results: [] |
| --- |
| |
| # sft-4e-exp2 |
|
|
| This model is an experimental fine-tuned version of [TencentARC/Mistral_Pro_8B_v0.1](https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1). |
|
|
| This model is intended for safety research only. |
|
|
| ## 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-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| |
| | arc (25) | hellaswag (10) | mmlu (5) | truthfulqa_mc (20) | winogrande | gsm8k (exact) | avg (exact) | |
| |:--------:|:--------------:|:--------:|:------------------:|:----------:|:-------------:|:-----------:| |
| | 0.6305 | 0.8413 | 0.6041 | 0.5535 | 0.7624 | 0.5754 | 0.6612 | |
|
|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.0 |
|
|
| ### License |
| This version is to be used for non-commercial research purposes only. We will release open models after we have finished training and evaluations. |
|
|
