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---
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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: bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-9-epoch-tweak
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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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# bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-9-epoch-tweak
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This model is a fine-tuned version of [Ameer05/model-token-repo](https://huggingface.co/Ameer05/model-token-repo) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4511
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- Rouge1: 59.76
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- Rouge2: 52.1999
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- Rougel: 57.3631
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- Rougelsum: 59.3075
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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: 9
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- mixed_precision_training: Native AMP
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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 | 0.91 | 5 | 2.0185 | 52.2186 | 45.4675 | 49.3152 | 51.9415 |
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| No log | 1.91 | 10 | 1.6571 | 60.7728 | 52.8611 | 57.3487 | 60.1676 |
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| No log | 2.91 | 15 | 1.5323 | 60.5674 | 52.2246 | 57.9846 | 60.073 |
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| No log | 3.91 | 20 | 1.4556 | 61.2167 | 53.5087 | 58.9609 | 60.893 |
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| 1.566 | 4.91 | 25 | 1.4632 | 62.918 | 55.4544 | 60.7116 | 62.6614 |
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| 1.566 | 5.91 | 30 | 1.4360 | 60.4173 | 52.5859 | 57.8131 | 59.8864 |
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| 1.566 | 6.91 | 35 | 1.4361 | 61.4273 | 53.9663 | 59.4445 | 60.9672 |
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| 1.566 | 7.91 | 40 | 1.4477 | 60.3401 | 52.7276 | 57.7504 | 59.8209 |
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| 0.6928 | 8.91 | 45 | 1.4511 | 59.76 | 52.1999 | 57.3631 | 59.3075 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.9.1
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- Datasets 1.18.4
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- Tokenizers 0.10.3
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