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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: my_mt5_small_test-finetuned-textdetox |
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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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# my_mt5_small_test-finetuned-textdetox |
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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: 0.0040 |
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- Rouge1: 7.6519 |
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- Rouge2: 2.5188 |
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- Rougel: 7.6693 |
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- Rougelsum: 7.6998 |
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- Gen Len: 16.1324 |
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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: 0.0001 |
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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: 5 |
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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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| 0.6699 | 1.0 | 348 | 0.2325 | 7.206 | 2.2593 | 7.2116 | 7.2778 | 15.8029 | |
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| 0.198 | 2.0 | 696 | 0.0066 | 7.5046 | 2.4469 | 7.4966 | 7.5618 | 16.1353 | |
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| 0.1554 | 3.0 | 1044 | 0.0051 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1309 | |
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| 0.1058 | 4.0 | 1392 | 0.0039 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1317 | |
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| 0.1013 | 5.0 | 1740 | 0.0040 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1324 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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