mistral-7B-v0.3-Base-CPT_SFT_DPO
This model is a fine-tuned version of lamm-mit/mistral-7B-v0.3-Base-CPT_SFT on the lamm-mit/orpo-dpo-mix-40k, the lamm-mit/bio-inspired-DPO and the lamm-mit/spider-silk-DPO datasets.
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: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 8
- 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
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
lamm-mit/mistral-7B-v0.3-Base-CPT_SFT