| --- |
| license: mit |
| base_model: BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: amazon_helpfulness_classification_dapt_tap |
| 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. --> |
|
|
| # amazon_helpfulness_classification_dapt_tap |
|
|
| This model is a fine-tuned version of [BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model](https://huggingface.co/BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3428 |
| - Accuracy: 0.8785 |
| - F1 Macro: 0.6863 |
|
|
| ## 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=(0.9,0.98) and epsilon=1e-06 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:| |
| | 0.315 | 1.0 | 7204 | 0.3045 | 0.874 | 0.6410 | |
| | 0.3083 | 2.0 | 14408 | 0.3373 | 0.8722 | 0.6349 | |
| | 0.2639 | 3.0 | 21612 | 0.3507 | 0.8768 | 0.6922 | |
| | 0.2388 | 4.0 | 28816 | 0.4179 | 0.87 | 0.6659 | |
| | 0.1534 | 5.0 | 36020 | 0.5956 | 0.8738 | 0.6830 | |
| | 0.1524 | 6.0 | 43224 | 0.6679 | 0.8684 | 0.6796 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
| |
