| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: BERT_model_new |
| 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. --> |
|
|
| # BERT_model_new |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1206 |
| - F1: 0.8301 |
|
|
| ## Model description |
|
|
| train_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/train.csv')\ |
| validation_df = pd.read_csv('/content/drive/My Drive/DATASETS/wiki_toxic/validation.csv')\ |
| #test_df = pd.read_csv('/content/drive/My Drive/wiki_toxic/test.csv')\ |
| frac = 0.9\ |
| #TRAIN\ |
| print(train_df.shape[0]) # get the number of rows in the dataframe\ |
| rows_to_delete = train_df.sample(frac=frac, random_state=1)\ |
| train_df = train_df.drop(rows_to_delete.index)\ |
| print(train_df.shape[0])\ |
| |
| #VALIDATION\ |
| print(validation_df.shape[0]) # get the number of rows in the dataframe\ |
| rows_to_delete = validation_df.sample(frac=frac, random_state=1)\ |
| validation_df = validation_df.drop(rows_to_delete.index)\ |
| print(validation_df.shape[0])\ |
| |
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 1.0 | 399 | 0.0940 | 0.8273 | |
| | 0.1262 | 2.0 | 798 | 0.1206 | 0.8301 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
| |
