DrBERT-7GB-finetuned-loinc
This model is a fine-tuned version of Dr-BERT/DrBERT-7GB on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6762
- Accuracy: 0.8519
- F1: 0.8516
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 1268 | 0.6636 | 0.8410 | 0.8379 |
| No log | 2.0 | 2536 | 0.6715 | 0.8401 | 0.8414 |
| No log | 3.0 | 3804 | 0.6953 | 0.8538 | 0.8490 |
| No log | 4.0 | 5072 | 0.6719 | 0.8522 | 0.8524 |
| No log | 5.0 | 6340 | 0.6762 | 0.8519 | 0.8516 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1+cxx11.abi
- Datasets 3.0.1
- Tokenizers 0.20.0
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Dr-BERT/DrBERT-7GB