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
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Model tree for prithviraj-maurya/alexa_converting_pov
Base model
google-t5/t5-base