WebSquareAI-finetuning

This model is a fine-tuned version of kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6374

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6412	1.0	84	0.6449
0.497	2.0	168	0.6082
0.3357	3.0	252	0.6374

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2