chembert-upper-cased-chemrxn-ner
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6924
- Precision: 0.3547
- Recall: 0.3052
- F1: 0.3281
- Accuracy: 0.7909
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: 8
- 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
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 51 | 0.8716 | 0.2986 | 0.0400 | 0.0706 | 0.7746 |
No log | 2.0 | 102 | 0.7629 | 0.3209 | 0.1924 | 0.2405 | 0.7871 |
No log | 3.0 | 153 | 0.7132 | 0.3135 | 0.3161 | 0.3148 | 0.7789 |
No log | 4.0 | 204 | 0.7120 | 0.3629 | 0.2609 | 0.3036 | 0.7935 |
No log | 5.0 | 255 | 0.6924 | 0.3547 | 0.3052 | 0.3281 | 0.7909 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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