metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-uncased
model-index:
- name: clinical_trial_stop_reasons_custom
results: []
clinical_trial_stop_reasons_custom
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1448
- Accuracy Thresh: 0.9570
- F1 Micro: 0.5300
- F1 Macro: 0.1254
- Confusion Matrix: [[5940 15] [ 270 150]]
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: 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh | F1 Micro | F1 Macro | Confusion Matrix |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 106 | 0.2812 | 0.8328 | 0.0 | 0.0 | [[5955 0] |
| [ 420 0]] | |||||||
| No log | 2.0 | 212 | 0.2189 | 0.9382 | 0.0 | 0.0 | [[5955 0] |
| [ 420 0]] | |||||||
| No log | 3.0 | 318 | 0.1840 | 0.9489 | 0.0 | 0.0 | [[5955 0] |
| [ 420 0]] | |||||||
| No log | 4.0 | 424 | 0.1638 | 0.9485 | 0.4940 | 0.0989 | [[5943 12] |
| [ 288 132]] | |||||||
| 0.239 | 5.0 | 530 | 0.1526 | 0.9533 | 0.5060 | 0.1018 | [[5943 12] |
| [ 277 143]] | |||||||
| 0.239 | 6.0 | 636 | 0.1467 | 0.9564 | 0.5077 | 0.1020 | [[5938 17] |
| [ 275 145]] | |||||||
| 0.239 | 7.0 | 742 | 0.1448 | 0.9570 | 0.5300 | 0.1254 | [[5940 15] |
| [ 270 150]] |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2