| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: BiBert-Subjectivity |
| 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. --> |
|
|
| # BiBert-Subjectivity |
|
|
| This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1481 |
| - Accuracy: 0.9583 |
| - F1: 0.9581 |
| - Mae: 0.0417 |
| - Accuracy 2: 0.9583 |
|
|
| ## 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 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Mae | Accuracy 2 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----:|:----------:| |
| | No log | 1.0 | 112 | 0.1333 | 0.95 | 0.9508 | 0.05 | 0.95 | |
| | No log | 2.0 | 224 | 0.1517 | 0.953 | 0.9531 | 0.047 | 0.953 | |
| | No log | 3.0 | 336 | 0.2219 | 0.951 | 0.9505 | 0.049 | 0.951 | |
| | No log | 4.0 | 448 | 0.2327 | 0.947 | 0.9479 | 0.053 | 0.947 | |
| | 0.0865 | 5.0 | 560 | 0.2557 | 0.953 | 0.9528 | 0.047 | 0.953 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
| |
