mythomax-7b-sft-qlora

This model is a fine-tuned version of Gryphe/MythoMax-L2-13b on the youndukn/ROLE_PLAY dataset. It achieves the following results on the evaluation set:

• Loss: 0.8894

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8947	1.0	696	0.8894

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.15.0