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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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- null |
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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-es |
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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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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 12.4927 |
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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-es |
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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: 2.9894 |
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- Rouge1: 12.4927 |
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- Rouge2: 4.847 |
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- Rougel: 12.4387 |
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- Rougelsum: 12.4383 |
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- Gen Len: 6.1675 |
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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: 4e-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 | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 6.5619 | 1.0 | 2202 | 3.2749 | 9.2423 | 3.2813 | 9.2013 | 9.1698 | 5.0354 | |
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| 3.8525 | 2.0 | 4404 | 3.1296 | 11.1883 | 4.047 | 11.1545 | 11.1885 | 6.4033 | |
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| 3.5419 | 3.0 | 6606 | 3.0478 | 11.4905 | 4.4465 | 11.3538 | 11.3805 | 6.6462 | |
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| 3.4045 | 4.0 | 8808 | 3.0174 | 11.5798 | 4.4426 | 11.5372 | 11.571 | 6.6816 | |
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| 3.3091 | 5.0 | 11010 | 3.0080 | 12.0207 | 4.5622 | 11.9232 | 11.9476 | 6.4976 | |
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| 3.2457 | 6.0 | 13212 | 2.9981 | 12.2459 | 4.6924 | 12.2306 | 12.2375 | 6.1533 | |
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| 3.2179 | 7.0 | 15414 | 2.9943 | 12.3927 | 4.6072 | 12.2888 | 12.2848 | 6.3561 | |
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| 3.1898 | 8.0 | 17616 | 2.9894 | 12.4927 | 4.847 | 12.4387 | 12.4383 | 6.1675 | |
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### Framework versions |
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- Transformers 4.10.3 |
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- Pytorch 1.9.1+cu111 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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