metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: openbookqa_bert-base-uncased
results: []
openbookqa_bert-base-uncased
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: 2.9105
- Accuracy: 0.53
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2578 | 1.0 | 155 | 1.5109 | 0.556 |
| 0.14 | 2.0 | 310 | 2.2063 | 0.532 |
| 0.0731 | 3.0 | 465 | 2.4621 | 0.552 |
| 0.0381 | 4.0 | 620 | 2.8087 | 0.546 |
| 0.0189 | 5.0 | 775 | 2.9105 | 0.53 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2