t5-small-finetuned-iwslt2017
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4200
- Bleu: 0.2502
- Gen Len: 26.2162
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
- IWSLT-2017-01: https://wit3.fbk.eu/2017-01
- IWSLT-2017-01-B: https://wit3.fbk.eu/2017-01-b
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for minseok0809/t5-small-scratch-custom-iwslt2017
Base model
google-t5/t5-small