metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: vision-classifier
results: []
vision-classifier
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: 0.0002
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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 173 | 0.0002 |
| No log | 2.0 | 346 | 0.0002 |
| 0.0002 | 3.0 | 519 | 0.0002 |
| 0.0002 | 4.0 | 692 | 0.0002 |
| 0.0002 | 5.0 | 865 | 0.0002 |
| 0.0002 | 6.0 | 1038 | 0.0002 |
| 0.0002 | 7.0 | 1211 | 0.0002 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu118
- Datasets 2.19.1
- Tokenizers 0.20.3