metadata
license: mit
base_model: BigTMiami/tapt_helpfulness_base_pretraining_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining
results: []
amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining
This model is a fine-tuned version of BigTMiami/tapt_helpfulness_base_pretraining_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4874
- Accuracy: 0.8724
- F1 Macro: 0.6843
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 |
|---|---|---|---|---|---|
| 0.3156 | 1.0 | 7204 | 0.3322 | 0.8666 | 0.5814 |
| 0.2841 | 2.0 | 14408 | 0.3471 | 0.8744 | 0.6461 |
| 0.274 | 3.0 | 21612 | 0.3581 | 0.8704 | 0.6287 |
| 0.2602 | 4.0 | 28816 | 0.3619 | 0.87 | 0.6849 |
| 0.2126 | 5.0 | 36020 | 0.5168 | 0.8678 | 0.6868 |
| 0.1674 | 6.0 | 43224 | 0.5960 | 0.8672 | 0.6713 |
| 0.1362 | 7.0 | 50428 | 0.6970 | 0.8684 | 0.6758 |
| 0.1184 | 8.0 | 57632 | 0.7500 | 0.8674 | 0.6715 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2