| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - tweet_eval |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: hate_trained |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: tweet_eval |
| | type: tweet_eval |
| | args: hate |
| | metrics: |
| | - name: F1 |
| | type: f1 |
| | value: 0.7730369969869401 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # hate_trained |
| | |
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9661 |
| | - F1: 0.7730 |
| |
|
| | ## 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: 9.303025140957233e-06 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 0 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.4767 | 1.0 | 2250 | 0.5334 | 0.7717 | |
| | | 0.4342 | 2.0 | 4500 | 0.7633 | 0.7627 | |
| | | 0.3813 | 3.0 | 6750 | 0.9452 | 0.7614 | |
| | | 0.3118 | 4.0 | 9000 | 0.9661 | 0.7730 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.13.0 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.16.1 |
| | - Tokenizers 0.10.3 |
| |
|
