vistral-7B_finetuned_A100_3thMay

This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2325

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: 4e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.8751	1.0	9961	0.7999
0.5978	2.0	19922	0.3976
0.4389	3.0	29883	0.2833
0.3505	4.0	39844	0.2442
0.3048	5.0	49805	0.2325

Framework versions

• PEFT 0.4.0
• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1