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--- |
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license: apache-2.0 |
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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: Vichu-T5 |
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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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# Vichu-T5 |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7762 |
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- Rouge1: 35.1347 |
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- Rouge2: 19.4192 |
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- Rougel: 31.7999 |
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- Rougelsum: 32.8835 |
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- Gen Len: 16.2025 |
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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: 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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| 2.1865 | 1.0 | 6501 | 1.8760 | 34.1463 | 18.5152 | 30.698 | 31.8035 | 16.3475 | |
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| 2.1069 | 2.0 | 13002 | 1.8004 | 34.8873 | 19.3631 | 31.5821 | 32.6451 | 16.2370 | |
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| 2.0697 | 3.0 | 19503 | 1.7762 | 35.1347 | 19.4192 | 31.7999 | 32.8835 | 16.2025 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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