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# vit5-base_tvpl_final_15112023

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results
Testing with Zalo Val test
[{'rouge1': 0.7787312953094918},
 {'rouge2': 0.7662668021051915},
 {'rougeL': 0.7752009145737424},
 {'rougeLsum': 0.775152226945001}]

f1 =  0.6852217682215199
em =  0.39805825242718446


### Framework versions

- Transformers 4.35.1
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "vietlegalqa/vit5-base_tvpl_final_15112023", "model-index": [{"name": "vit5-base_tvpl_final_15112023", "results": []}]}
transformers safetensors t5 text2text-generation generated_from_trainer base_model:vietlegalqa/vit5-base_tvpl_final_15112023 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us