zephyr-7b-proimg-qlora-user

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the erbacher/proactive_image_generation_user dataset. It achieves the following results on the evaluation set:

• Loss: 0.5822

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: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5498	1.0	226	0.5578
0.4788	2.0	452	0.5577
0.3871	3.0	678	0.5822

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.2.1+cu118
• Datasets 2.14.6
• Tokenizers 0.15.2