hoa-7b-test-lora

This model is a fine-tuned version of vlsp-2023-vllm/hoa-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 12.4488

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
12.7539	1.0	401	12.4488
12.8935	2.0	802	12.4488
12.9284	3.0	1203	12.4488

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.14.1