llama-3-8b-hf-ft-chat-lora

This model is a fine-tuned version of ytcheng/llama-3-8b-hf-sm-lora-merged on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.2919

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
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.668	0.9959	121	1.6440
1.3927	2.0	243	1.3922
1.2658	2.9959	364	1.3038
1.1749	3.9835	484	1.2919

Framework versions

• PEFT 0.10.0
• Transformers 4.40.0
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1