output
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2911
- Bleu: 65.8974
Model description
T5 Transformer model
Intended uses & limitations
Research only
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.3791 | 1.0 | 1019 | 0.3168 | 65.3989 |
| 0.3382 | 2.0 | 2038 | 0.2945 | 66.2317 |
| 0.3251 | 3.0 | 3057 | 0.2890 | 66.3165 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Downloads last month
- 31
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 prithviraj-maurya/alexa_converting_pov
Base model
google-t5/t5-base