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README.md
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---
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license: apache-2.0
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tags:
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- summarization
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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: easyTermsSummerizer
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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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# easyTermsSummerizer
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8124
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- Rouge1: 0.7533
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- Rouge2: 0.6964
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- Rougel: 0.6806
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- Rougelsum: 0.6793
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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: 16
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- eval_batch_size: 16
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 2 | 2.2083 | 0.7332 | 0.6595 | 0.6374 | 0.6376 |
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| No log | 2.0 | 4 | 1.9331 | 0.7776 | 0.7268 | 0.6991 | 0.7005 |
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| No log | 3.0 | 6 | 1.8124 | 0.7533 | 0.6964 | 0.6806 | 0.6793 |
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### Framework versions
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- Transformers 4.27.3
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- Pytorch 1.13.0
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- Datasets 2.1.0
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- Tokenizers 0.13.2
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