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amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1
ltuzova/amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1
amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1 is a machine learning model from ltuzova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 18, 2024
- SHA
- 88e46969
Base models
Model card
From the Hugging Face model README
<!-- 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_unipelt_tapt_best_epoch_f1
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3215
- Accuracy: 0.8763
- F1 Macro: 0.7083
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: 0.0001
- 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 |
|---|---|---|---|---|---|
| 0.3236 | 1.0 | 7204 | 0.3159 | 0.8654 | 0.5920 |
| 0.3285 | 2.0 | 14408 | 0.3207 | 0.8654 | 0.5660 |
| 0.3159 | 3.0 | 21612 | 0.3069 | 0.8758 | 0.6811 |
| 0.3026 | 4.0 | 28816 | 0.3125 | 0.8758 | 0.6800 |
| 0.2706 | 5.0 | 36020 | 0.3128 | 0.8752 | 0.6925 |
| 0.2434 | 6.0 | 43224 | 0.3247 | 0.876 | 0.6907 |
| 0.2426 | 7.0 | 50428 | 0.3290 | 0.8736 | 0.7025 |
| 0.2287 | 8.0 | 57632 | 0.3443 | 0.8728 | 0.6762 |
| 0.2566 | 9.0 | 64836 | 0.3589 | 0.8744 | 0.6915 |
| 0.1998 | 10.0 | 72040 | 0.3614 | 0.873 | 0.6854 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 17, 2024
- Updated
- Apr 18, 2024