vietnamese-news-summarization-vistral-7b

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

• Loss: 1.2452

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.3699	0.0060	20	1.3159
1.4501	0.0119	40	1.2761
1.2554	0.0179	60	1.2583
1.1901	0.0239	80	1.2474
1.4126	0.0298	100	1.2452

Framework versions

• PEFT 0.11.1
• Transformers 4.41.0
• Pytorch 2.1.2
• Datasets 2.16.0
• Tokenizers 0.19.1