t5_small_cosmos_qa
This model is a fine-tuned version of mamlong34/t5_small_race_mutlirc on the cosmos_qa dataset. It achieves the following results on the evaluation set:
- Loss: 0.5614
- Accuracy: 0.6067
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: 1000
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4811 | 1.0 | 3158 | 0.5445 | 0.5548 |
| 0.4428 | 2.0 | 6316 | 0.5302 | 0.5836 |
| 0.3805 | 3.0 | 9474 | 0.5614 | 0.6067 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1
- Datasets 1.12.1
- Tokenizers 0.10.3