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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: 16.5186 |
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- Rouge2: 10.0545 |
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- Rougel: 16.2944 |
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- Rougelsum: 16.2835 |
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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 | 13.8778 | 6.1808 | 13.6862 | 13.6699 | |
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| 4.1085 | 2.0 | 1302 | 2.8969 | 13.7773 | 7.1463 | 13.7471 | 13.7448 | |
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| 3.7329 | 3.0 | 1953 | 2.8285 | 13.3819 | 6.5587 | 13.3349 | 13.1454 | |
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| 3.5489 | 4.0 | 2604 | 2.7547 | 16.886 | 9.8816 | 16.8247 | 16.8231 | |
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| 3.4223 | 5.0 | 3255 | 2.7334 | 16.6755 | 10.0955 | 16.5465 | 16.5025 | |
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| 3.3509 | 6.0 | 3906 | 2.6994 | 16.851 | 10.5061 | 16.6289 | 16.7191 | |
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| 3.2895 | 7.0 | 4557 | 2.6871 | 16.4401 | 10.0994 | 16.2156 | 16.224 | |
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| 3.281 | 8.0 | 5208 | 2.6824 | 16.5186 | 10.0545 | 16.2944 | 16.2835 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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