sft-4e-exp2
This model is an experimental fine-tuned version of 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.
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for ontocord/sft-4e-exp2
Base model
TencentARC/Mistral_Pro_8B_v0.1