README.md

metadata

library_name: transformers
base_model: lamm-mit/mistral-7B-v0.3-Instruct-CPT_SFT
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - lamm-mit/orpo-dpo-mix-40k
  - lamm-mit/bio-inspired-DPO
  - lamm-mit/spider-silk-DPO
model-index:
  - name: mistral-7B-v0.3-Instruct-CPT_SFT-DPO
    results: []

mistral-7B-v0.3-Instruct-CPT_SFT-DPO

This model is a fine-tuned version of lamm-mit/mistral-7B-v0.3-Instruct-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