ViNormT5 / README.md
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metadata
library_name: transformers
license: mit
base_model: VietAI/vit5-base
tags:
  - generated_from_trainer
model-index:
  - name: ViNormT5
    results: []

ViNormT5

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2302
  • Bleu Score: 73.8994
  • Gen Len: 13.2

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: 0.0001
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Score Gen Len
0.4035 1.0 1047 0.2302 73.8994 13.2

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.20.0