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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-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: dialogsum |
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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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# dialogsum |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0245 |
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- Rouge1: 45.6581 |
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- Rouge2: 15.9871 |
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- Rougel: 43.5188 |
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- Rougelsum: 43.913 |
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- Gen Len: 19.0 |
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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: 5 |
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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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| 1.2634 | 1.0 | 786 | 1.1040 | 42.2483 | 13.4135 | 40.3622 | 40.5436 | 19.0 | |
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| 1.1931 | 2.0 | 1572 | 1.0637 | 41.6604 | 14.0866 | 39.7604 | 39.9971 | 19.0 | |
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| 1.1347 | 3.0 | 2358 | 1.0421 | 45.0247 | 14.5438 | 42.8164 | 43.1956 | 19.0 | |
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| 1.1155 | 4.0 | 3144 | 1.0312 | 45.6977 | 16.2231 | 43.5457 | 43.8965 | 19.0 | |
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| 1.0827 | 5.0 | 3930 | 1.0245 | 45.6581 | 15.9871 | 43.5188 | 43.913 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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