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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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datasets:
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- samsum
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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-01
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: validation
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 39.8989
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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-01
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8784
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- Rouge1: 39.8989
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- Rouge2: 18.4549
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- Rougel: 34.2186
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- Rougelsum: 37.3438
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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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| 4.1361 | 1.0 | 1842 | 2.1341 | 35.9845 | 15.146 | 30.819 | 33.4492 |
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| 2.5514 | 2.0 | 3684 | 2.0119 | 37.8344 | 16.359 | 32.2541 | 35.4021 |
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| 2.3851 | 3.0 | 5526 | 1.9674 | 38.8153 | 17.1048 | 33.2513 | 36.2178 |
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| 2.2878 | 4.0 | 7368 | 1.9211 | 39.0649 | 17.5803 | 33.5863 | 36.4784 |
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| 2.2202 | 5.0 | 9210 | 1.9016 | 39.5536 | 18.199 | 34.1462 | 37.1727 |
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| 2.181 | 6.0 | 11052 | 1.8829 | 39.8724 | 18.1549 | 34.1958 | 37.2659 |
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| 2.153 | 7.0 | 12894 | 1.8821 | 39.871 | 18.4563 | 34.2479 | 37.4525 |
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| 2.138 | 8.0 | 14736 | 1.8784 | 39.8989 | 18.4549 | 34.2186 | 37.3438 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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