opt-125m-boolq
This model is a fine-tuned version of facebook/opt-125m on the GLUE BOOLQ dataset. It achieves the following results on the evaluation set:
- Loss: 2.0177
- Accuracy: 0.6905
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3
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Model tree for Cheng98/opt-125m-boolq
Base model
facebook/opt-125mDataset used to train Cheng98/opt-125m-boolq
Evaluation results
- Accuracy on GLUE BOOLQself-reported0.691