metadata

license: afl-3.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: Viet-Mistral/Vistral-7B-Chat
datasets:
  - generator
model-index:
  - name: vietnamese-news-summarization-vistral-7b
    results: []

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: 1.8576

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-06
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
2.0431	0.0060	20	2.0914
2.0513	0.0119	40	2.0405
2.0366	0.0179	60	1.9899
1.946	0.0238	80	1.9301
1.9324	0.0298	100	1.8576

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.19.1