umt5-bcoqa
This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2095
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 3.4388 | 0.2 | 2500 | 2.5847 |
| 2.9502 | 0.4 | 5000 | 2.3387 |
| 2.8027 | 0.6 | 7500 | 2.2562 |
| 2.6951 | 0.8 | 10000 | 2.2095 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
google/umt5-base