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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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- 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-small-finetuned-sk-news
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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-small-finetuned-sk-news
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 16.0857
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- Rouge1: 2.0538
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- Rouge2: 0.0
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- Rougel: 1.9048
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- Rougelsum: 2.0124
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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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- 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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| 30.464 | 1.0 | 2 | 17.7365 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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| 14.821 | 2.0 | 4 | 17.3584 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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| 22.1114 | 3.0 | 6 | 17.1870 | 2.8571 | 0.0 | 2.8571 | 2.619 |
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| 18.8111 | 4.0 | 8 | 17.0857 | 2.1429 | 0.0 | 1.9048 | 2.1429 |
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| 22.5286 | 5.0 | 10 | 16.8012 | 2.1429 | 0.0 | 1.9048 | 2.1429 |
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| 51.2947 | 6.0 | 12 | 16.4472 | 2.0952 | 0.0 | 1.9048 | 2.0952 |
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| 16.0488 | 7.0 | 14 | 16.2174 | 2.0538 | 0.0 | 1.9048 | 2.0124 |
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| 19.0999 | 8.0 | 16 | 16.0857 | 2.0538 | 0.0 | 1.9048 | 2.0124 |
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### Framework versions
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- Transformers 4.27.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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