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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-base-transcript-summarizer |
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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-base-transcript-summarizer |
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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: 0.5995 |
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- Rouge1: 52.1518 |
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- Rouge2: 28.7254 |
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- Rougel: 41.1877 |
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- Rougelsum: 46.0726 |
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- Gen Len: 16.5342 |
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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: 2e-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: 4 |
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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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| 0.6432 | 1.0 | 1842 | 0.6072 | 50.2818 | 27.4589 | 39.9803 | 44.436 | 15.7775 | |
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| 0.5389 | 2.0 | 3684 | 0.5928 | 51.449 | 28.8498 | 41.1803 | 45.7102 | 16.2433 | |
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| 0.4847 | 3.0 | 5526 | 0.5941 | 51.2837 | 28.3449 | 40.5158 | 45.1193 | 16.0562 | |
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| 0.4398 | 4.0 | 7368 | 0.5995 | 52.1518 | 28.7254 | 41.1877 | 46.0726 | 16.5342 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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