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--- |
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license: mit |
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base_model: VietAI/vit5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: fine-tuning-vit5-mlgsum-gelu |
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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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# fine-tuning-vit5-mlgsum-gelu |
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1556 |
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- Rouge1: 50.5193 |
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- Rouge2: 21.2954 |
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- Rougel: 33.6144 |
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- Rougelsum: 33.9444 |
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- Gen Len: 22.7724 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 3 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 2.2549 | 1.0 | 5972 | 2.1928 | 50.2908 | 20.6038 | 33.1745 | 33.4632 | 22.7732 | |
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| 2.118 | 2.0 | 11944 | 2.1566 | 50.1299 | 21.0429 | 33.4773 | 33.7977 | 22.7204 | |
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| 1.9907 | 3.0 | 17916 | 2.1556 | 50.5193 | 21.2954 | 33.6144 | 33.9444 | 22.7724 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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