my_awesome_reclor_model_test
This model is a fine-tuned version of bert-base-uncased on the reclor dataset. It achieves the following results on the evaluation set:
- Loss: 1.4745
- Accuracy: 0.486
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: 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 290 | 1.2555 | 0.422 |
| 1.2285 | 2.0 | 580 | 1.2556 | 0.48 |
| 1.2285 | 3.0 | 870 | 1.4745 | 0.486 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2
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