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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: long-t5-tglobal-base-samsum |
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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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# long-t5-tglobal-base-samsum |
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This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3565 |
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- Rouge1: 46.191 |
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- Rouge2: 22.3147 |
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- Rougel: 38.4272 |
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- Rougelsum: 42.0471 |
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- Gen Len: 16.7350 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 2 |
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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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| 1.6898 | 1.0 | 7366 | 1.3795 | 45.766 | 21.7455 | 38.1609 | 41.7016 | 16.7265 | |
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| 1.5544 | 2.0 | 14732 | 1.3565 | 46.191 | 22.3147 | 38.4272 | 42.0471 | 16.7350 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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