tst-translation
This model is a fine-tuned version of t5-small on the opus100 en-hi dataset. It achieves the following results on the evaluation set:
- Loss: 0.1287
- Bleu: 15.6337
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for SoyGema/tst-translation
Base model
google-t5/t5-smallDataset used to train SoyGema/tst-translation
Evaluation results
- Bleu on opus100 en-hivalidation set self-reported15.634