t5_base_fine_tuned_opus_books_en_de
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2693
- Sacrebleu: 30.5457
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: 32
- eval_batch_size: 32
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.9813 | 1.0 | 945 | 0.2616 | 32.3189 |
| 0.6188 | 2.0 | 1890 | 0.2653 | 31.6118 |
| 0.5944 | 3.0 | 2835 | 0.2680 | 30.8915 |
| 0.5798 | 4.0 | 3780 | 0.2690 | 30.7392 |
| 0.5741 | 5.0 | 4725 | 0.2693 | 30.5457 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Model tree for jaymanvirk/t5_base_fine_tuned_opus_books_en_de
Base model
google-t5/t5-base