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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tritran/vietnamese-news-summarization/runs/as3mgbsl)
# vietnamese-news-summarization-vistral-7b
This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/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 |