tmp-dpo

This model is a fine-tuned version of trl-internal-testing/tiny-random-LlamaForCausalLM on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6931
• Rewards/chosen: -0.0001
• Rewards/rejected: -0.0001
• Rewards/accuracies: 0.625
• Rewards/margins: 0.0001
• Logps/rejected: -2296.9749
• Logps/chosen: -2241.1948
• Logits/rejected: -0.0001
• Logits/chosen: -0.0001

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• training_steps: 1

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1