---
base_model: NlpHUST/t5-en-vi-small
tags:
- generated_from_trainer
model-index:
- name: t5-en-vi-small-ed-multi
  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. -->

# t5-en-vi-small-ed-multi

This model is a fine-tuned version of [NlpHUST/t5-en-vi-small](https://huggingface.co/NlpHUST/t5-en-vi-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 42.1043
- F1 Micro: 0.0
- Recall Micro: 0.0
- Precision Micro: 0.0
- F1 Macro: 0.0
- Recall Macro: 0.0
- Precision Macro: 0.0

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
| No log        | 0.9987 | 393  | 42.1043         | 0.0      | 0.0          | 0.0             | 0.0      | 0.0          | 0.0             |
| 0.0           | 2.0    | 787  | 42.1043         | 0.0      | 0.0          | 0.0             | 0.0      | 0.0          | 0.0             |
| 0.0           | 2.9987 | 1180 | 42.1043         | 0.0      | 0.0          | 0.0             | 0.0      | 0.0          | 0.0             |
| 0.0           | 4.0    | 1574 | 42.1043         | 0.0      | 0.0          | 0.0             | 0.0      | 0.0          | 0.0             |
| 0.0           | 4.9936 | 1965 | 42.1043         | 0.0      | 0.0          | 0.0             | 0.0      | 0.0          | 0.0             |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1