| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - banking77 |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: bert-base-banking77-pt2 |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: banking77 |
| | type: banking77 |
| | config: default |
| | split: test |
| | args: default |
| | metrics: |
| | - name: F1 |
| | type: f1 |
| | value: 0.9309100400015781 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bert-base-banking77-pt2 |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2986 |
| | - F1: 0.9309 |
| |
|
| | ## 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: 5e-05 |
| | - 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 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 1.1628 | 1.0 | 626 | 0.8192 | 0.8424 | |
| | | 0.3969 | 2.0 | 1252 | 0.3709 | 0.9204 | |
| | | 0.188 | 3.0 | 1878 | 0.2986 | 0.9309 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.27.1 |
| | - Pytorch 2.2.0.dev20231009+cu121 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.3 |
| |
|
