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--- |
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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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metrics: |
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- bleu |
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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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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: ccmatrix |
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type: ccmatrix |
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config: en-it |
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split: train[3000:15000] |
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args: en-it |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 7.7504 |
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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: 2.2736 |
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- Bleu: 7.7504 |
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- Gen Len: 60.0173 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
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| 3.4319 | 1.0 | 750 | 2.8398 | 2.2549 | 92.1093 | |
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| 3.0931 | 2.0 | 1500 | 2.7018 | 3.061 | 87.6667 | |
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| 3.0119 | 3.0 | 2250 | 2.6072 | 3.8085 | 79.9573 | |
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| 2.8924 | 4.0 | 3000 | 2.5345 | 4.4824 | 73.2513 | |
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| 2.8415 | 5.0 | 3750 | 2.4761 | 5.0326 | 70.2667 | |
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| 2.7656 | 6.0 | 4500 | 2.4320 | 5.4965 | 67.55 | |
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| 2.7305 | 7.0 | 5250 | 2.3915 | 6.1202 | 65.9733 | |
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| 2.6847 | 8.0 | 6000 | 2.3605 | 6.4886 | 64.696 | |
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| 2.656 | 9.0 | 6750 | 2.3352 | 6.7504 | 62.7593 | |
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| 2.6252 | 10.0 | 7500 | 2.3161 | 7.1305 | 61.516 | |
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| 2.6101 | 11.0 | 8250 | 2.3001 | 7.2954 | 61.1827 | |
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| 2.5974 | 12.0 | 9000 | 2.2882 | 7.516 | 60.974 | |
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| 2.5815 | 13.0 | 9750 | 2.2798 | 7.6634 | 60.4747 | |
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| 2.5665 | 14.0 | 10500 | 2.2750 | 7.6801 | 60.3567 | |
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| 2.5688 | 15.0 | 11250 | 2.2736 | 7.7504 | 60.0173 | |
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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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