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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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- 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-de |
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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-de |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6824 |
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- Rouge1: 16.5188 |
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- Rouge2: 9.9087 |
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- Rougel: 16.3497 |
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- Rougelsum: 16.3207 |
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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: 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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| 8.4221 | 1.0 | 651 | 3.1302 | 13.8418 | 6.2062 | 13.6147 | 13.7041 | |
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| 4.1085 | 2.0 | 1302 | 2.8969 | 13.842 | 7.0502 | 13.6309 | 13.7681 | |
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| 3.7329 | 3.0 | 1953 | 2.8285 | 13.4412 | 6.5045 | 13.2123 | 13.1854 | |
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| 3.5489 | 4.0 | 2604 | 2.7547 | 16.8572 | 9.781 | 16.8349 | 16.8095 | |
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| 3.4223 | 5.0 | 3255 | 2.7334 | 16.7217 | 9.9946 | 16.5297 | 16.5576 | |
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| 3.3509 | 6.0 | 3906 | 2.6994 | 16.8925 | 10.2889 | 16.7603 | 16.7358 | |
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| 3.2895 | 7.0 | 4557 | 2.6871 | 16.4238 | 9.974 | 16.3198 | 16.2857 | |
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| 3.281 | 8.0 | 5208 | 2.6824 | 16.5188 | 9.9087 | 16.3497 | 16.3207 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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