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reddit-comment-sentiment-final
AG6019/reddit-comment-sentiment-final
reddit-comment-sentiment-final is a text classification model from AG6019. 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
- Jun 1, 2023
- Updated
- Jun 1, 2023
- SHA
- 3c47ee7d
Try a prompt
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. -->
reddit-comment-sentiment-final
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2564
- Accuracy: 0.8971
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5164 | 1.0 | 603 | 0.3938 | 0.8196 |
| 0.3583 | 2.0 | 1206 | 0.3110 | 0.8615 |
| 0.29 | 3.0 | 1809 | 0.2748 | 0.8843 |
| 0.2428 | 4.0 | 2412 | 0.2691 | 0.8884 |
| 0.2042 | 5.0 | 3015 | 0.2564 | 0.8971 |
| 0.1881 | 6.0 | 3618 | 0.2575 | 0.8963 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 1, 2023
- Updated
- Jun 1, 2023