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README.md
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---
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license: mit
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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: mbart-large-50-pluska-token-sum
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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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# mbart-large-50-pluska-token-sum
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2944
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- Rouge1: 16.8143
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- Rouge2: 5.2102
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- Rougel: 14.3454
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- Rougelsum: 14.7355
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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: 5.6e-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: 8
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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 | 144 | 3.7149 | 17.1082 | 5.3773 | 14.6384 | 14.9023 |
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| No log | 2.0 | 288 | 3.4301 | 17.6442 | 5.7235 | 14.9728 | 15.3384 |
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| No log | 3.0 | 432 | 3.4951 | 17.491 | 5.5463 | 14.8284 | 15.2035 |
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| 2.9135 | 4.0 | 576 | 3.6706 | 17.1471 | 5.3419 | 14.6302 | 14.9667 |
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| 2.9135 | 5.0 | 720 | 3.9122 | 16.6979 | 5.1895 | 14.2909 | 14.6367 |
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| 2.9135 | 6.0 | 864 | 4.0815 | 16.5961 | 5.1915 | 14.2459 | 14.5916 |
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| 2.9135 | 7.0 | 1008 | 4.2448 | 16.7793 | 5.2088 | 14.3515 | 14.7136 |
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| 1.0097 | 8.0 | 1152 | 4.2944 | 16.8143 | 5.2102 | 14.3454 | 14.7355 |
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### Framework versions
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- Transformers 4.27.0
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- Pytorch 2.0.0
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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