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--- |
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language: |
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- en |
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- it |
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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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- ccmatrix |
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model-index: |
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- name: t5-small-finetuned-en-to-it |
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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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# t5-small-finetuned-en-to-it |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the ccmatrix dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0188 |
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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: 2e-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: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.5524 | 1.0 | 750 | 2.2315 | |
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| 2.4839 | 2.0 | 1500 | 2.1932 | |
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| 2.4654 | 3.0 | 2250 | 2.1637 | |
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| 2.4001 | 4.0 | 3000 | 2.1352 | |
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| 2.3966 | 5.0 | 3750 | 2.1122 | |
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| 2.3537 | 6.0 | 4500 | 2.0921 | |
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| 2.3427 | 7.0 | 5250 | 2.0746 | |
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| 2.316 | 8.0 | 6000 | 2.0614 | |
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| 2.301 | 9.0 | 6750 | 2.0488 | |
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| 2.2813 | 10.0 | 7500 | 2.0403 | |
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| 2.2691 | 11.0 | 8250 | 2.0325 | |
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| 2.2561 | 12.0 | 9000 | 2.0265 | |
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| 2.258 | 13.0 | 9750 | 2.0217 | |
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| 2.2447 | 14.0 | 10500 | 2.0199 | |
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| 2.2432 | 15.0 | 11250 | 2.0188 | |
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### Framework versions |
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- Transformers 4.22.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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