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headlines_news_sentiment_distil
ishaq101/headlines_news_sentiment_distil
headlines_news_sentiment_distil is a text classification model from ishaq101. 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
- Sep 11, 2024
- Updated
- Sep 11, 2024
- SHA
- e10a031a
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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. -->
headlines_news_sentiment_distil
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6265
- Model Preparation Time: 0.0026
- Accuracy: 0.8423
- F1: 0.8423
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 |
|---|---|---|---|---|---|---|
| 0.4834 | 1.0 | 504 | 0.4035 | 0.0026 | 0.8156 | 0.8156 |
| 0.3402 | 2.0 | 1008 | 0.3987 | 0.0026 | 0.8343 | 0.8343 |
| 0.2343 | 3.0 | 1512 | 0.4514 | 0.0026 | 0.8392 | 0.8391 |
| 0.1604 | 4.0 | 2016 | 0.5443 | 0.0026 | 0.8396 | 0.8396 |
| 0.1151 | 5.0 | 2520 | 0.6265 | 0.0026 | 0.8423 | 0.8423 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024