T5-small-finetuned-en-to-de-accelerate translator
This model is a fine-tuned version of t5-small on the kde4 dataset. It achieves the following results on the evaluation set:
- SacreBELU : 41.46
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Accelerate
Training hyperparameters
The following hyperparameters were used during training:
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: AdamW with lr=5e-5
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Validation Loss | BLEU score |
|---|---|---|---|
| 1.5908938944803344 | 1.0 | 1.2350984811782837 | 39.82 |
| 1.3603184403975805 | 2.0 | 1.1676584482192993 | 41.05 |
| 1.3098205064204005 | 3.0 | 1.1546192169189453 | 41.46 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 15
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for pritam3355/t5-small-finetuned-en-to-de-accelerate
Base model
google-t5/t5-small