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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-amazon-en-zh_TW |
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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-amazon-en-zh_TW |
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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: 3.2408 |
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- Rouge1: 15.8831 |
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- Rouge2: 7.1676 |
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- Rougel: 15.5523 |
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- Rougelsum: 15.4954 |
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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: 7 |
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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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| 7.5388 | 1.0 | 838 | 3.5888 | 12.6081 | 5.3611 | 12.3495 | 12.2926 | |
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| 4.0043 | 2.0 | 1676 | 3.4038 | 13.8517 | 6.3417 | 13.4755 | 13.4913 | |
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| 3.6776 | 3.0 | 2514 | 3.3294 | 15.1519 | 7.3842 | 14.8844 | 14.8458 | |
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| 3.4929 | 4.0 | 3352 | 3.2668 | 15.6067 | 7.4016 | 15.3715 | 15.2908 | |
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| 3.387 | 5.0 | 4190 | 3.2855 | 15.0546 | 7.3065 | 14.8271 | 14.7755 | |
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| 3.302 | 6.0 | 5028 | 3.2457 | 15.0213 | 6.6597 | 14.6131 | 14.5641 | |
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| 3.2806 | 7.0 | 5866 | 3.2408 | 15.8831 | 7.1676 | 15.5523 | 15.4954 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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