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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6628 |
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- Rouge1: 16.6076 |
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- Rouge2: 9.9027 |
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- Rougel: 16.1974 |
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- Rougelsum: 16.2188 |
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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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| 8.2562 | 1.0 | 651 | 3.1075 | 14.737 | 6.9361 | 14.3272 | 14.3439 | |
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| 4.0951 | 2.0 | 1302 | 2.8909 | 13.9821 | 7.1908 | 13.5966 | 13.6613 | |
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| 3.7285 | 3.0 | 1953 | 2.7839 | 14.1682 | 7.1028 | 13.8005 | 13.8592 | |
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| 3.5478 | 4.0 | 2604 | 2.7192 | 15.8804 | 9.6757 | 15.6891 | 15.7287 | |
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| 3.4295 | 5.0 | 3255 | 2.6939 | 17.5083 | 10.3927 | 17.0418 | 17.0633 | |
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| 3.3476 | 6.0 | 3906 | 2.6724 | 16.9379 | 10.2269 | 16.6049 | 16.5903 | |
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| 3.2964 | 7.0 | 4557 | 2.6725 | 16.8053 | 10.1869 | 16.3812 | 16.441 | |
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| 3.2723 | 8.0 | 5208 | 2.6628 | 16.6076 | 9.9027 | 16.1974 | 16.2188 | |
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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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