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FineTuned_AmazonReviewHub
MatthiasGTZ/FineTuned_AmazonReviewHub
FineTuned_AmazonReviewHub is a text classification model from MatthiasGTZ. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- 5311f313
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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. -->
FineTuned_AmazonReviewHub
This model is a fine-tuned version of MahmoudMohamed/Amazon_rating_review_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0605
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=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.131 | 1.0 | 5000 | 1.1265 |
| 1.0534 | 2.0 | 10000 | 1.0605 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024