metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_on_base_no_pretraining
results: []
amazon_helpfulness_classification_on_base_no_pretraining
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4611
- Accuracy: 0.8664
- F1 Macro: 0.6902
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 |
|---|---|---|---|---|---|
| 0.3234 | 1.0 | 7204 | 0.3502 | 0.8658 | 0.5841 |
| 0.3102 | 2.0 | 14408 | 0.3271 | 0.869 | 0.6652 |
| 0.287 | 3.0 | 21612 | 0.3579 | 0.8692 | 0.6622 |
| 0.2685 | 4.0 | 28816 | 0.3589 | 0.872 | 0.6662 |
| 0.2437 | 5.0 | 36020 | 0.4797 | 0.8644 | 0.6926 |
| 0.163 | 6.0 | 43224 | 0.5644 | 0.862 | 0.6610 |
| 0.1475 | 7.0 | 50428 | 0.5918 | 0.8638 | 0.6611 |
| 0.1175 | 8.0 | 57632 | 0.6703 | 0.8624 | 0.6685 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2