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update model card README.md
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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-small-finetuned-samsum-en
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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-samsum-en
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4304
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- Rouge1: 21.9966
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- Rouge2: 9.1451
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- Rougel: 19.532
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- Rougelsum: 20.6359
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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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| No log | 1.0 | 125 | 4.0396 | 8.9392 | 1.5339 | 8.1146 | 8.538 |
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| No log | 2.0 | 250 | 3.0166 | 17.0822 | 6.0564 | 15.1854 | 16.2353 |
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| No log | 3.0 | 375 | 2.7375 | 18.9169 | 7.0912 | 16.8087 | 17.7473 |
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| No log | 4.0 | 500 | 2.5996 | 20.5929 | 7.8755 | 18.2074 | 19.3914 |
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| No log | 5.0 | 625 | 2.5095 | 21.1958 | 8.7027 | 18.8919 | 19.9921 |
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| No log | 6.0 | 750 | 2.4641 | 21.2479 | 8.8452 | 18.9289 | 19.9557 |
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| No log | 7.0 | 875 | 2.4341 | 22.1418 | 9.1294 | 19.6073 | 20.7666 |
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| No log | 8.0 | 1000 | 2.4304 | 21.9966 | 9.1451 | 19.532 | 20.6359 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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