bert-base-cased-MLM-chemistry-textCLS-RHEOLOGY
This model is a fine-tuned version of jonas-luehrs/bert-base-cased-MLM-chemistry on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7384
- F1: 0.7045
- Precision: 0.6979
- Recall: 0.7284
- Accuracy: 0.7284
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: 32
- eval_batch_size: 32
- 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 | F1 | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.2604 | 1.0 | 46 | 1.0089 | 0.5830 | 0.5536 | 0.6173 | 0.6173 |
| 0.8074 | 2.0 | 92 | 0.7888 | 0.6577 | 0.6702 | 0.6852 | 0.6852 |
| 0.6246 | 3.0 | 138 | 0.7384 | 0.7045 | 0.6979 | 0.7284 | 0.7284 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for jonas-luehrs/bert-base-cased-MLM-chemistry-textCLS-RHEOLOGY
Base model
google-bert/bert-base-cased