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amazon_helpfulness_classification_on_5M_full_pretrained_best_epoch_f1
ltuzova/amazon_helpfulness_classification_on_5M_full_pretrained_best_epoch_f1
amazon_helpfulness_classification_on_5M_full_pretrained_best_epoch_f1 is a text classification model from ltuzova. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- 4482ee7f
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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_on_5M_full_pretrained_best_epoch_f1
This model is a fine-tuned version of BigTMiami/amazon_pretraining_5M_model_corrected on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4124
- Accuracy: 0.8726
- F1 Macro: 0.7000
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 |
|---|---|---|---|---|---|
| 0.3151 | 1.0 | 7204 | 0.3359 | 0.8728 | 0.6273 |
| 0.2883 | 2.0 | 14408 | 0.3229 | 0.8738 | 0.6540 |
| 0.2622 | 3.0 | 21612 | 0.3909 | 0.87 | 0.6323 |
| 0.2539 | 4.0 | 28816 | 0.4227 | 0.8696 | 0.7007 |
| 0.2041 | 5.0 | 36020 | 0.4938 | 0.8712 | 0.6846 |
| 0.1532 | 6.0 | 43224 | 0.6590 | 0.8636 | 0.6852 |
| 0.1293 | 7.0 | 50428 | 0.8322 | 0.8622 | 0.6203 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024