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# KLTN_COQE_viT5_total_APSOL_v5

This model is a fine-tuned version of [ThuyNT03/KLTN_COQE_viT5_total_APSOL_v4](https://huggingface.co/ThuyNT03/KLTN_COQE_viT5_total_APSOL_v4) 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ThuyNT03/KLTN_COQE_viT5_total_APSOL_v4", "model-index": [{"name": "KLTN_COQE_viT5_total_APSOL_v5", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:ThuyNT03/KLTN_COQE_viT5_total_APSOL_v4 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us