llama2-chat_30000_500

This model is a fine-tuned version of unsloth/llama-2-7b-chat-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.9608
• eval_runtime: 160.5428
• eval_samples_per_second: 5.606
• eval_steps_per_second: 1.401
• epoch: 1.2
• step: 564

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 4
• seed: 3407
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.16.0
• Tokenizers 0.15.2