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t5_base_race_cosmos_qa
This model is a fine-tuned version of t5-base on the race dataset. It achieves the following results on the evaluation set:
- Loss: 0.4414
- Accuracy: 0.7424
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4355 | 1.0 | 10984 | 0.3910 | 0.7072 |
| 0.3233 | 2.0 | 21968 | 0.3833 | 0.7321 |
| 0.229 | 3.0 | 32952 | 0.4414 | 0.7424 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0
- Datasets 1.12.1
- Tokenizers 0.10.3
