| ---
|
| library_name: transformers
|
| license: apache-2.0
|
| base_model: bert-base-uncased
|
| tags:
|
| - generated_from_trainer
|
| model-index:
|
| - name: imdbdata
|
| 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. -->
|
|
|
| # imdbdata
|
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
|
| It achieves the following results on the evaluation set:
|
| - Loss: 0.2437
|
|
|
| ## 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: 1e-05
|
| - train_batch_size: 16
|
| - eval_batch_size: 16
|
| - seed: 42
|
| - optimizer: Use 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: 5
|
| - mixed_precision_training: Native AMP
|
|
|
| ### Training results
|
|
|
| | Training Loss | Epoch | Step | Validation Loss |
|
| |:-------------:|:-----:|:----:|:---------------:|
|
| | 0.2749 | 1.0 | 1563 | 0.2548 |
|
| | 0.2723 | 2.0 | 3126 | 0.2493 |
|
| | 0.271 | 3.0 | 4689 | 0.2437 |
|
| | 0.2581 | 4.0 | 6252 | 0.2446 |
|
| | 0.2743 | 5.0 | 7815 | 0.2437 |
|
|
|
|
|
| ### Framework versions
|
|
|
| - Transformers 4.57.6
|
| - Pytorch 2.5.1+cu121
|
| - Datasets 4.5.0
|
| - Tokenizers 0.22.2
|
|
|
