metadata
license: apache-2.0
base_model: UFNLP/gatortron-base
tags:
- generated_from_trainer
model-index:
- name: ICU_Returns_Gatortron
results: []
ICU_Returns_Gatortron
This model is a fine-tuned version of UFNLP/gatortron-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7852
- F1:: 0.7203
- Roc Auc: 0.7335
- Precision with 0:: 0.9126
- Precision with 1:: 0.6628
- Recall with 0:: 0.5165
- Recal with 1:: 0.9505
- Accuracy:: 0.7335
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- 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 | F1: | Roc Auc | Precision with 0: | Precision with 1: | Recall with 0: | Recal with 1: | Accuracy: |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 46 | 0.6889 | 0.6965 | 0.7115 | 0.8812 | 0.6464 | 0.4890 | 0.9341 | 0.7115 |
| No log | 2.0 | 92 | 0.7628 | 0.7287 | 0.7390 | 0.8919 | 0.6719 | 0.5440 | 0.9341 | 0.7390 |
| No log | 3.0 | 138 | 1.8927 | 0.6372 | 0.6703 | 0.9306 | 0.6062 | 0.3681 | 0.9725 | 0.6703 |
| No log | 4.0 | 184 | 1.7208 | 0.7236 | 0.7363 | 0.9135 | 0.6654 | 0.5220 | 0.9505 | 0.7363 |
| No log | 5.0 | 230 | 1.7852 | 0.7203 | 0.7335 | 0.9126 | 0.6628 | 0.5165 | 0.9505 | 0.7335 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1