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bert-base-uncased-finetuned-crypto-buy-neutral-2-class
Leon4gr45/bert-base-uncased-finetuned-crypto-buy-neutral-2-class
bert-base-uncased-finetuned-crypto-buy-neutral-2-class is a text classification model from Leon4gr45. 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
- bert
- Access
- Public
- Created
- Sep 28, 2025
- Updated
- Sep 28, 2025
- SHA
- 5ecdc7e4
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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. -->
bert-base-uncased-finetuned-crypto-buy-neutral-2-class
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6688
- Accuracy: 0.7021
- F1: 0.7039
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.696 | 1.0 | 9 | 0.6655 | 0.5957 | 0.4503 |
| 0.6591 | 2.0 | 18 | 0.6401 | 0.6489 | 0.5928 |
| 0.6104 | 3.0 | 27 | 0.6036 | 0.6543 | 0.6401 |
| 0.5353 | 4.0 | 36 | 0.5903 | 0.6543 | 0.6513 |
| 0.4694 | 5.0 | 45 | 0.5796 | 0.6809 | 0.6786 |
| 0.3805 | 6.0 | 54 | 0.6014 | 0.6755 | 0.6758 |
| 0.3214 | 7.0 | 63 | 0.6200 | 0.7021 | 0.7039 |
| 0.2469 | 8.0 | 72 | 0.6688 | 0.7021 | 0.7039 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 28, 2025
- Updated
- Sep 28, 2025