t5-pst-ans
This model is a fine-tuned version of allenai/unifiedqa-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2424
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: 2e-05
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 5.5295 |
| No log | 2.0 | 42 | 5.3172 |
| No log | 3.0 | 63 | 5.2424 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
allenai/unifiedqa-t5-small