qwen1.5-7b-chat-orpo-v2

This model is a fine-tuned version of Qwen/Qwen1.5-7B-Chat on the mlabonne/orpo-dpo-mix-40k dataset.

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: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• total_train_batch_size: 16
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_steps: 100
• num_epochs: 1

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.2
• Datasets 2.19.2
• Tokenizers 0.19.1