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update model card README.md
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README.md
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---
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license: mit
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base_model: facebook/bart-large-cnn
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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: test-dialogue-summarization
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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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# test-dialogue-summarization
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9653
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- Rouge1: 61.2091
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- Rouge2: 36.8979
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- Rougel: 46.3962
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- Rougelsum: 58.3082
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- Gen Len: 135.6733
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 10
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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 | 94 | 1.3755 | 53.9112 | 25.5975 | 36.8507 | 50.0306 | 132.7733 |
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| No log | 2.0 | 188 | 1.2081 | 55.5956 | 27.4849 | 37.7785 | 51.7906 | 137.1267 |
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| No log | 3.0 | 282 | 1.1149 | 55.714 | 28.3629 | 39.0763 | 52.439 | 137.62 |
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| No log | 4.0 | 376 | 1.0564 | 56.6202 | 29.789 | 39.9223 | 53.3054 | 135.1733 |
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| No log | 5.0 | 470 | 1.0107 | 57.8272 | 31.5716 | 41.9775 | 54.5114 | 135.1733 |
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| 1.1609 | 6.0 | 564 | 0.9775 | 58.561 | 32.5462 | 42.9577 | 55.1653 | 133.5533 |
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| 1.1609 | 7.0 | 658 | 0.9683 | 59.0592 | 33.8153 | 43.918 | 56.0493 | 135.3267 |
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| 1.1609 | 8.0 | 752 | 0.9626 | 60.4587 | 35.8511 | 45.9511 | 57.3658 | 134.38 |
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| 1.1609 | 9.0 | 846 | 0.9623 | 60.3938 | 35.8996 | 45.7161 | 57.2104 | 135.2333 |
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| 1.1609 | 10.0 | 940 | 0.9653 | 61.2091 | 36.8979 | 46.3962 | 58.3082 | 135.6733 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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