Finetuning experiments
Collection
Using common-known datasets to finetune several models. Experiments are run in Colab.
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6 items
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Updated
finetuned-t5-base-opus-books-Translation
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for JinbiaoZhu/finetuned-t5-base-opus-books-Translation
Base model
google-t5/t5-base