cjfcsjt/142_aitw_sft_fbc_2b

aitw_sft_fbc

This model is a fine-tuned version of /mnt/nvme0n1p1/hongxin_li/jingfan/LLaMA-Factory/models/qwen2_vl_lora_sft_aitw_all_2b on the vl_sft_data_aitw dataset.

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: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20.0

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.45.0
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.20.1