t5_large_race_cosmos_qa
This model is a fine-tuned version of t5-large on the race dataset. It achieves the following results on the evaluation set:
- Loss: 0.4382
- Accuracy: 0.8023
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.3513 | 1.0 | 10983 | 0.7714 | 0.3165 |
| 0.2109 | 2.0 | 21966 | 0.7986 | 0.3329 |
| 0.0929 | 3.0 | 32949 | 0.4382 | 0.8023 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0
- Datasets 1.14.0
- Tokenizers 0.10.3
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