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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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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: news-summary-t5-model-2 |
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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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# news-summary-t5-model-2 |
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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: 2.5691 |
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- Rouge1: 29.9122 |
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- Rouge2: 11.6784 |
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- Rougel: 26.812 |
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- Rougelsum: 26.8345 |
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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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| 8.1234 | 1.0 | 440 | 3.3123 | 18.1585 | 5.9435 | 16.7364 | 16.7646 | |
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| 4.2107 | 2.0 | 880 | 2.8404 | 22.9864 | 8.3815 | 20.8354 | 20.9346 | |
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| 3.738 | 3.0 | 1320 | 2.7354 | 26.5984 | 10.0823 | 23.912 | 23.9585 | |
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| 3.4864 | 4.0 | 1760 | 2.6756 | 27.1487 | 10.1681 | 24.3788 | 24.4672 | |
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| 3.3642 | 5.0 | 2200 | 2.6224 | 28.7513 | 11.5416 | 26.2106 | 26.2335 | |
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| 3.269 | 6.0 | 2640 | 2.5883 | 29.6461 | 11.8038 | 26.7581 | 26.7764 | |
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| 3.212 | 7.0 | 3080 | 2.5677 | 29.8037 | 11.6582 | 26.5532 | 26.5455 | |
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| 3.186 | 8.0 | 3520 | 2.5691 | 29.9122 | 11.6784 | 26.812 | 26.8345 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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