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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: ViT5_Dialogue_Summarization |
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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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# ViT5_Dialogue_Summarization |
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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: 1.6228 |
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- Rouge1: 52.8317 |
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- Rouge2: 29.8327 |
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- Rougel: 41.7287 |
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- Rougelsum: 46.3648 |
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- Gen Len: 16.8071 |
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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: 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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- num_epochs: 3 |
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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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| 1.8522 | 1.0 | 3683 | 1.6994 | 52.1383 | 28.4438 | 41.2886 | 45.7379 | 16.6484 | |
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| 1.496 | 2.0 | 7366 | 1.6228 | 52.8317 | 29.8327 | 41.7287 | 46.3648 | 16.8071 | |
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| 1.1959 | 3.0 | 11049 | 1.6419 | 53.6738 | 30.2857 | 42.5458 | 47.2315 | 16.906 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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