tjluyao/baichuan2-7b-chat-lora1

lora

This model is a fine-tuned version of baichuan-inc/Baichuan2-7B-Chat on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:

• Loss: 1.1320

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

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1