| license: mit | |
| base_model: prajjwal1/bert-tiny | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: checkpoints | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # checkpoints | |
| This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6530 | |
| - Accuracy: 0.6392 | |
| ## 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: 0.0003 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.6751 | 1.0 | 1250 | 0.6668 | 0.626 | | |
| | 0.6634 | 2.0 | 2500 | 0.6576 | 0.634 | | |
| | 0.6584 | 3.0 | 3750 | 0.6556 | 0.6286 | | |
| | 0.6548 | 4.0 | 5000 | 0.6530 | 0.6392 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.15.2 | |