metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
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: 0.3016
- Accuracy: 0.903
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4263 | 0.16 | 100 | 1.1397 | 0.592 |
| 0.9469 | 0.32 | 200 | 0.7879 | 0.746 |
| 0.6107 | 0.48 | 300 | 0.4802 | 0.846 |
| 0.4503 | 0.64 | 400 | 0.3855 | 0.874 |
| 0.3673 | 0.8 | 500 | 0.3477 | 0.894 |
| 0.3684 | 0.96 | 600 | 0.3263 | 0.89 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1