aoyunhui_genQA_2k_Filter

This model is a fine-tuned version of shenzhi-wang/Llama3-8B-Chinese-Chat on the aoyunhui_genQAFilter dataset. It achieves the following results on the evaluation set:

• Loss: 0.5353

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: 8e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.4967	2.0101	100	0.6246
0.3478	4.0201	200	0.5399

Framework versions

• PEFT 0.12.0
• Transformers 4.43.3
• Pytorch 2.4.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1