metadata
license: cc-by-nc-nd-4.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: checkpoint
results: []
checkpoint
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6844
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-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.942 | 0.4 | 14781 | 0.9276 |
| 0.7801 | 0.8 | 29562 | 0.7407 |
| 0.5825 | 1.2 | 44343 | 0.7030 |
| 0.5682 | 1.6 | 59124 | 0.6452 |
| 0.5286 | 2.0 | 73905 | 0.6214 |
| 0.387 | 2.4 | 88686 | 0.6819 |
| 0.3876 | 2.8 | 103467 | 0.6422 |
| 0.2882 | 3.2 | 118248 | 0.6901 |
| 0.271 | 3.6 | 133029 | 0.6844 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2