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TweetRoberta_5epochs
AndreiUrsu/TweetRoberta_5epochs
TweetRoberta_5epochs is a text classification model from AndreiUrsu. 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
- roberta
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 2, 2024
- SHA
- 08715bb7
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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. -->
TweetRoberta_5epochs
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3387
- Accuracy: 0.9452
- F1: 0.9454
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2755 | 1.0 | 2500 | 0.4153 | 0.9176 | 0.9129 |
| 0.2107 | 2.0 | 5000 | 0.3076 | 0.9312 | 0.9341 |
| 0.1421 | 3.0 | 7500 | 0.2812 | 0.9428 | 0.9424 |
| 0.081 | 4.0 | 10000 | 0.3304 | 0.9464 | 0.9466 |
| 0.0601 | 5.0 | 12500 | 0.3387 | 0.9452 | 0.9454 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 2, 2024
- Updated
- May 2, 2024