bert-base-uncased-finetuned-lexglue
This model is a fine-tuned version of bert-base-uncased on the lex_glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.0125
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7154 | 1.0 | 1250 | 1.1155 |
| 0.9658 | 2.0 | 2500 | 1.0348 |
| 1.0321 | 3.0 | 3750 | 1.0125 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1
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