olm-bert-tiny-december-2022-target-glue-wnli
This model is a fine-tuned version of muhtasham/olm-bert-tiny-december-2022 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0922
- Accuracy: 0.1127
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6929 | 25.0 | 500 | 0.7122 | 0.3662 |
0.6884 | 50.0 | 1000 | 0.7929 | 0.1831 |
0.6808 | 75.0 | 1500 | 0.9301 | 0.1408 |
0.6692 | 100.0 | 2000 | 1.0922 | 0.1127 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
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