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stog-t5-small
This model is a fine-tuned version of t5-small on the web_nlg dataset. It achieves the following results on the evaluation set:
- Loss: 0.1414
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.12 | 100 | 0.4625 |
| No log | 0.24 | 200 | 0.3056 |
| No log | 0.36 | 300 | 0.2393 |
| No log | 0.48 | 400 | 0.1999 |
| No log | 0.61 | 500 | 0.1740 |
| No log | 0.73 | 600 | 0.1562 |
| No log | 0.85 | 700 | 0.1467 |
| No log | 0.97 | 800 | 0.1418 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
