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amazon_helpfulness_classification_on_TAPT_pretrained_full_train
ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_full_train
amazon_helpfulness_classification_on_TAPT_pretrained_full_train 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 20, 2024
- Updated
- Apr 21, 2024
- SHA
- 79701af0
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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_TAPT_pretrained_full_train
This model is a fine-tuned version of ltuzova/tapt_helpfulness_base_pretraining_model_full_train on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3275
- Accuracy: 0.8787
- F1 Macro: 0.6852
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 |
|---|---|---|---|---|---|
| 0.3175 | 1.0 | 7204 | 0.3037 | 0.8762 | 0.6515 |
| 0.2996 | 2.0 | 14408 | 0.3404 | 0.8744 | 0.6448 |
| 0.2624 | 3.0 | 21612 | 0.3263 | 0.8792 | 0.6963 |
| 0.2322 | 4.0 | 28816 | 0.4314 | 0.877 | 0.6752 |
| 0.1906 | 5.0 | 36020 | 0.5521 | 0.8708 | 0.6836 |
| 0.1487 | 6.0 | 43224 | 0.7017 | 0.8704 | 0.6941 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 20, 2024
- Updated
- Apr 21, 2024