metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-effectiveness-dagstuhl
results: []
bert-base-uncased-finetuned-effectiveness-dagstuhl
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: 0.6418
- Accuracy: 0.6190
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: 16
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 16 | 0.6729 | 0.5714 |
| No log | 2.0 | 32 | 0.6418 | 0.6190 |
| No log | 3.0 | 48 | 0.6719 | 0.5556 |
| No log | 4.0 | 64 | 0.6386 | 0.6032 |
| No log | 5.0 | 80 | 0.6559 | 0.5714 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2