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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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- wmt19 |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-small-finetuned-fi-to-en |
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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: wmt19 |
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type: wmt19 |
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args: fi-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 1.618 |
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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-fi-to-en |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt19 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3598 |
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- Bleu: 1.618 |
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- Gen Len: 17.3223 |
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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: 5 |
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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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| 3.3627 | 1.0 | 6250 | 3.5122 | 1.2882 | 17.1803 | |
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| 3.2162 | 2.0 | 12500 | 3.4442 | 1.4329 | 17.2617 | |
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| 3.1304 | 3.0 | 18750 | 3.3872 | 1.4862 | 17.296 | |
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| 3.0832 | 4.0 | 25000 | 3.3648 | 1.5795 | 17.3047 | |
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| 3.0623 | 5.0 | 31250 | 3.3598 | 1.618 | 17.3223 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.9.1 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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