tinyllama-1.1b-chat-v1.0-ui-math-coding-dpo

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_math and the data/ui_coding datasets. It achieves the following results on the evaluation set:

• Loss: 0.3968
• Rewards/chosen: -1.5087
• Rewards/rejected: -3.7229
• Rewards/accuracies: 0.7812
• Rewards/margins: 2.2142
• Logps/rejected: -740.7106
• Logps/chosen: -538.8605
• Logits/rejected: -2.5209
• Logits/chosen: -2.5392

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: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 1024
• total_eval_batch_size: 128
• 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 4.44.1
• Pytorch 2.1.2+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1