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# KLTN_COQE_viT5_APSOL_v4

This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008

## 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: 5e-05
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8586        | 1.98  | 200  | 0.0880          |
| 0.1018        | 3.96  | 400  | 0.0376          |
| 0.0408        | 5.94  | 600  | 0.0127          |
| 0.0171        | 7.92  | 800  | 0.0034          |
| 0.0065        | 9.9   | 1000 | 0.0008          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "KLTN_COQE_viT5_APSOL_v4", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:VietAI/vit5-large license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us