metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-base-cased-DreamBank
results: []
widget:
- text: >-
I dreamed that Hannah and Sue and I travelled back in time to meet her
parents. Weird.
pipeline_tag: text-classification
bert-base-cased-DreamBank
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2697
- F1: 0.8335
- Roc Auc: 0.8761
- Accuracy: 0.6703
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 185 | 0.5983 | 0.0330 | 0.5064 | 0.0162 |
| No log | 2.0 | 370 | 0.3939 | 0.6104 | 0.7317 | 0.4649 |
| 0.4638 | 3.0 | 555 | 0.3227 | 0.7572 | 0.8154 | 0.5568 |
| 0.4638 | 4.0 | 740 | 0.2852 | 0.7902 | 0.8412 | 0.5784 |
| 0.4638 | 5.0 | 925 | 0.2720 | 0.7982 | 0.8382 | 0.6270 |
| 0.1877 | 6.0 | 1110 | 0.2795 | 0.8144 | 0.8619 | 0.6541 |
| 0.1877 | 7.0 | 1295 | 0.2575 | 0.8147 | 0.8568 | 0.6541 |
| 0.1877 | 8.0 | 1480 | 0.2556 | 0.8204 | 0.8630 | 0.6595 |
| 0.0952 | 9.0 | 1665 | 0.2668 | 0.8321 | 0.8764 | 0.6703 |
| 0.0952 | 10.0 | 1850 | 0.2697 | 0.8335 | 0.8761 | 0.6703 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.5.1
- Tokenizers 0.12.1