metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: liar_binaryclassifier_bert_cased
results: []
liar_binaryclassifier_bert_cased
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6359
- Accuracy: 0.6659
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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
---|---|---|---|---|
0.6768 | 1.0 | 461 | 0.6486 | 0.6573 |
0.6368 | 2.0 | 922 | 0.6262 | 0.6573 |
0.6025 | 3.0 | 1383 | 0.6314 | 0.6594 |
0.5785 | 4.0 | 1844 | 0.6330 | 0.6573 |
0.5586 | 5.0 | 2305 | 0.6359 | 0.6659 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2