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--- |
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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: pegasus-cnn_dailymail-v4-e1-e4-feedback |
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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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# pegasus-cnn_dailymail-v4-e1-e4-feedback |
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This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1815 |
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- Rouge1: 59.7329 |
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- Rouge2: 42.429 |
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- Rougel: 53.5945 |
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- Rougelsum: 52.9219 |
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- Gen Len: 37.8636 |
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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: 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: 4 |
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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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| No log | 1.0 | 90 | 5.5674 | 60.4652 | 43.8057 | 54.5759 | 52.5243 | 39.5 | |
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| No log | 2.0 | 180 | 5.3261 | 60.248 | 43.9953 | 54.9492 | 53.6372 | 38.6364 | |
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| No log | 3.0 | 270 | 5.2167 | 60.4887 | 43.6915 | 54.3825 | 53.5206 | 37.1364 | |
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| No log | 4.0 | 360 | 5.1815 | 59.7329 | 42.429 | 53.5945 | 52.9219 | 37.8636 | |
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### Framework versions |
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- Transformers 4.12.3 |
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- Pytorch 1.9.0 |
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- Datasets 1.18.0 |
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- Tokenizers 0.10.3 |
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