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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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- simplification
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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-clara-med
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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-clara-med
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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: 2.3080
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- Rouge1: 30.493
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- Rouge2: 15.6893
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- Rougel: 26.8862
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- Rougelsum: 26.912
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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: 16
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- eval_batch_size: 16
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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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| No log | 1.0 | 190 | 3.2218 | 18.2868 | 7.2715 | 16.1223 | 16.4758 |
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| No log | 2.0 | 380 | 2.5984 | 22.723 | 11.054 | 20.6104 | 20.5809 |
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| 7.1737 | 3.0 | 570 | 2.4510 | 29.0855 | 14.5467 | 25.516 | 25.5461 |
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| 7.1737 | 4.0 | 760 | 2.3834 | 29.5966 | 14.9256 | 26.0424 | 26.0825 |
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| 3.3012 | 5.0 | 950 | 2.3490 | 30.0213 | 15.2307 | 26.3306 | 26.3528 |
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| 3.3012 | 6.0 | 1140 | 2.3250 | 30.1084 | 15.1684 | 26.4745 | 26.4574 |
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| 3.3012 | 7.0 | 1330 | 2.3139 | 30.5785 | 15.7414 | 26.9835 | 27.0047 |
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| 3.0426 | 8.0 | 1520 | 2.3080 | 30.493 | 15.6893 | 26.8862 | 26.912 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0
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- Datasets 2.8.0
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- Tokenizers 0.12.1
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