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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: mt5-base-wikinewssum-english-100
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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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# mt5-base-wikinewssum-english-100
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.6225
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- Rouge1: 3.909
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- Rouge2: 0.9312
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- Rougel: 3.3835
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- Rougelsum: 3.7786
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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: 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: 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 | 0.96 | 12 | 14.4949 | 2.7398 | 0.7181 | 2.491 | 2.6561 |
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| No log | 1.96 | 24 | 10.5056 | 4.4428 | 1.4293 | 3.8469 | 4.2869 |
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| No log | 2.96 | 36 | 8.9856 | 4.1179 | 1.229 | 3.5726 | 3.9693 |
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| No log | 3.96 | 48 | 7.7950 | 3.9217 | 1.1339 | 3.4256 | 3.7905 |
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| No log | 4.96 | 60 | 7.0734 | 3.8004 | 1.0326 | 3.3246 | 3.6766 |
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| No log | 5.96 | 72 | 6.7897 | 3.6351 | 0.9162 | 3.1839 | 3.5149 |
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| No log | 6.96 | 84 | 6.6610 | 3.7486 | 0.8829 | 3.2583 | 3.6193 |
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| No log | 7.96 | 96 | 6.6225 | 3.909 | 0.9312 | 3.3835 | 3.7786 |
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### Framework versions
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- Transformers 4.13.0
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- Pytorch 1.10.1
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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