metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: office-character
results: []
office-character
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6075
- Accuracy: 0.1381
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7041 | 0.16 | 60 | 2.6752 | 0.0864 |
| 2.6928 | 0.31 | 120 | 2.6589 | 0.1118 |
| 2.6579 | 0.47 | 180 | 2.6806 | 0.0989 |
| 2.645 | 0.63 | 240 | 2.6248 | 0.1260 |
| 2.6157 | 0.79 | 300 | 2.6219 | 0.1272 |
| 2.6076 | 0.94 | 360 | 2.6075 | 0.1381 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3