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fine-tuned-twitter-roberta-base-sentiment-latest
dilkasithari-IT/fine-tuned-twitter-roberta-base-sentiment-latest
fine-tuned-twitter-roberta-base-sentiment-latest is a text classification model from dilkasithari-IT. 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
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- e98e639e
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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. -->
fine-tuned-twitter-roberta-base-sentiment-latest
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3062
- Accuracy: {'accuracy': 0.8868131868131868}
- F1score: {'f1': 0.88247351021472}
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-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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1score |
|---|---|---|---|---|---|
| 0.461 | 0.2443 | 500 | 0.3381 | {'accuracy': 0.8565934065934065} | {'f1': 0.8483856477235431} |
| 0.3702 | 0.4885 | 1000 | 0.3378 | {'accuracy': 0.865934065934066} | {'f1': 0.8655309886906097} |
| 0.3574 | 0.7328 | 1500 | 0.2971 | {'accuracy': 0.8714285714285714} | {'f1': 0.8709435986031107} |
| 0.3358 | 0.9770 | 2000 | 0.3062 | {'accuracy': 0.8868131868131868} | {'f1': 0.88247351021472} |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024