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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- amazon_reviews_multi |
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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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dataset: |
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name: amazon_reviews_multi |
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type: amazon_reviews_multi |
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config: en |
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split: validation |
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args: en |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 19.7803 |
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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 amazon_reviews_multi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3776 |
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- Rouge1: 19.7803 |
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- Rouge2: 11.1015 |
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- Rougel: 19.2549 |
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- Rougelsum: 19.0799 |
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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: 12 |
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- eval_batch_size: 12 |
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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: 16 |
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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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| 2.7004 | 1.0 | 514 | 3.2936 | 17.2056 | 9.3595 | 17.2163 | 16.8991 | |
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| 2.6472 | 2.0 | 1028 | 3.2995 | 17.4081 | 9.9623 | 17.3287 | 16.9701 | |
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| 2.6173 | 3.0 | 1542 | 3.3039 | 17.9581 | 9.5537 | 17.7729 | 17.6022 | |
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| 2.5812 | 4.0 | 2056 | 3.3057 | 17.438 | 8.8331 | 17.1341 | 17.0436 | |
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| 2.5446 | 5.0 | 2570 | 3.3316 | 18.6351 | 10.4851 | 18.5086 | 18.2872 | |
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| 2.5133 | 6.0 | 3084 | 3.3255 | 19.1331 | 10.3396 | 18.8557 | 18.6551 | |
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| 2.4885 | 7.0 | 3598 | 3.3522 | 18.998 | 10.1323 | 18.709 | 18.5662 | |
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| 2.464 | 8.0 | 4112 | 3.3314 | 18.8978 | 10.1726 | 18.5683 | 18.3049 | |
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| 2.4431 | 9.0 | 4626 | 3.3508 | 18.777 | 10.3018 | 18.5103 | 18.2069 | |
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| 2.4092 | 10.0 | 5140 | 3.3520 | 19.3359 | 11.2355 | 19.0265 | 18.7083 | |
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| 2.4082 | 11.0 | 5654 | 3.3534 | 19.3633 | 11.2181 | 19.0465 | 18.7726 | |
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| 2.3815 | 12.0 | 6168 | 3.3687 | 18.7702 | 10.395 | 18.5383 | 18.2271 | |
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| 2.3706 | 13.0 | 6682 | 3.3716 | 19.0868 | 10.6534 | 18.791 | 18.5447 | |
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| 2.3628 | 14.0 | 7196 | 3.3756 | 19.1222 | 10.9791 | 18.6601 | 18.5131 | |
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| 2.3518 | 15.0 | 7710 | 3.3831 | 19.9227 | 11.0903 | 19.4883 | 19.2418 | |
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| 2.3497 | 16.0 | 8224 | 3.3776 | 19.7803 | 11.1015 | 19.2549 | 19.0799 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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