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distilbert-amazon-software-reviews-finetuned
PHILIPPUNI/distilbert-amazon-software-reviews-finetuned
distilbert-amazon-software-reviews-finetuned is a text classification model from PHILIPPUNI. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- 7daa757d
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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. -->
results
This model is a fine-tuned version of distilbert-base-uncased on the software subset of the Amazon reviews dataset. It achieves the following results on the evaluation set:
- Loss: 2.2385
- Accuracy: 0.6475
- F1 Score: 0.5149
- Precision Score: 0.5166
- Recall Score: 0.5186
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Precision Score | Recall Score |
|---|---|---|---|---|---|---|---|
| 0.8908 | 1.0 | 1000 | 0.8550 | 0.6775 | 0.4135 | 0.5308 | 0.4387 |
| 0.7222 | 2.0 | 2000 | 0.8526 | 0.68 | 0.4892 | 0.5139 | 0.4846 |
| 0.5898 | 3.0 | 3000 | 0.9706 | 0.659 | 0.5017 | 0.5050 | 0.4995 |
| 0.4364 | 4.0 | 4000 | 1.0946 | 0.669 | 0.5143 | 0.5231 | 0.5074 |
| 0.2925 | 5.0 | 5000 | 1.5019 | 0.6385 | 0.5190 | 0.5275 | 0.5281 |
| 0.2378 | 6.0 | 6000 | 1.6785 | 0.639 | 0.5095 | 0.5204 | 0.5122 |
| 0.1715 | 7.0 | 7000 | 1.8847 | 0.6535 | 0.5156 | 0.5163 | 0.5189 |
| 0.1177 | 8.0 | 8000 | 2.1249 | 0.6425 | 0.5232 | 0.5251 | 0.5309 |
| 0.0968 | 9.0 | 9000 | 2.1572 | 0.659 | 0.5226 | 0.5220 | 0.5288 |
| 0.0555 | 10.0 | 10000 | 2.2385 | 0.6475 | 0.5149 | 0.5166 | 0.5186 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024