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t5-small-finetuned-en-to-ro-dataset_20-input_64
aretw0/t5-small-finetuned-en-to-ro-dataset_20-input_64
t5-small-finetuned-en-to-ro-dataset_20-input_64 is a machine learning model from aretw0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 3, 2021
- SHA
- 32ab3093
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-small-finetuned-en-to-ro-dataset_20-input_64
This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4335
- Bleu: 8.6652
- Gen Len: 18.2596
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.6351 | 1.0 | 7629 | 1.4335 | 8.6652 | 18.2596 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 3, 2021