| | --- |
| | library_name: transformers |
| | base_model: Sans1807/content |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Sans1807/content |
| | 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. --> |
| |
|
| | # Sans1807/content |
| |
|
| | This model is a fine-tuned version of [Sans1807/content](https://huggingface.co/Sans1807/content) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0944 |
| | - Cer: 0.0078 |
| | - Wer: 0.0406 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 25 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |
| | |:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
| | | 0.0005 | 5.0761 | 1000 | 0.0714 | 0.0119 | 0.0584 | |
| | | 0.0 | 10.1523 | 2000 | 0.0821 | 0.0115 | 0.0533 | |
| | | 0.003 | 15.2284 | 3000 | 0.0877 | 0.0091 | 0.0381 | |
| | | 0.0157 | 20.3046 | 4000 | 0.0944 | 0.0078 | 0.0406 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.0 |
| | - Datasets 2.17.0 |
| | - Tokenizers 0.19.1 |
| |
|
