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--- |
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license: mit |
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base_model: VietAI/vit5-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: KLTN_COQE_viT5_PAOSL_v4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# KLTN_COQE_viT5_PAOSL_v4 |
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This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0033 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2831 | 1.98 | 200 | 0.1297 | |
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| 0.1433 | 3.96 | 400 | 0.0509 | |
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| 0.0558 | 5.94 | 600 | 0.0209 | |
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| 0.0259 | 7.92 | 800 | 0.0072 | |
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| 0.0101 | 9.9 | 1000 | 0.0033 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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