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---
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.
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