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self_tuned_finbert_aiera
Lizwen106/self_tuned_finbert_aiera
self_tuned_finbert_aiera is a text classification model from Lizwen106. 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
- bert
- Access
- Public
- Created
- May 17, 2026
- Updated
- May 17, 2026
- SHA
- 9f0669ac
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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. -->
self_tuned_finbert_aiera
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7145
- Accuracy: 0.7214
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: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7795 | 1.0 | 35 | 0.7251 | 0.6929 |
| 0.6028 | 2.0 | 70 | 0.7122 | 0.7 |
| 0.3986 | 3.0 | 105 | 0.6648 | 0.7429 |
| 0.3221 | 4.0 | 140 | 0.7145 | 0.7214 |
Framework versions
- Transformers 5.8.1
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 17, 2026
- Updated
- May 17, 2026