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--- |
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language: |
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- en |
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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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- cnn_dailymail |
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metrics: |
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- rouge |
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base_model: google/mt5-small |
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model-index: |
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- name: mt5-small-cnn-dm-kaggle-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-cnn-dm-kaggle-en |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2499 |
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- Rouge1: 25.24 |
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- Rouge2: 11.4243 |
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- Rougel: 22.1837 |
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- Rougelsum: 22.2212 |
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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: 4 |
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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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| 3.7959 | 1.0 | 2668 | 3.3796 | 24.6486 | 10.95 | 21.6027 | 21.6371 | |
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| 3.6116 | 2.0 | 5336 | 3.2863 | 25.0485 | 11.2204 | 21.9543 | 21.9949 | |
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| 3.5264 | 3.0 | 8004 | 3.2426 | 25.1151 | 11.2913 | 22.0778 | 22.1108 | |
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| 3.4845 | 4.0 | 10672 | 3.2499 | 25.24 | 11.4243 | 22.1837 | 22.2212 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
