tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora-v2

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tinyllama-1.1B-intermediate-step-715k-1.5T-dpo-lora-v2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5376
• Rewards/chosen: 0.2709
• Rewards/rejected: -0.4042
• Rewards/accuracies: 0.7230
• Rewards/margins: 0.6751
• Logps/rejected: -319.7874
• Logps/chosen: -399.9467
• Logits/rejected: -4.0164
• Logits/chosen: -4.1297

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: 2
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 32
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1