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tradepulse-finbert-yiyanghkust-finbert-tone-20250707_162528
Bencode92/tradepulse-finbert-yiyanghkust-finbert-tone-20250707_162528
tradepulse-finbert-yiyanghkust-finbert-tone-20250707_162528 is a machine learning model from Bencode92. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Jul 7, 2025
- Updated
- Jul 7, 2025
- SHA
- 237cdbd6
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. -->
tradepulse-finbert-yiyanghkust-finbert-tone-20250707_162528
This model is a fine-tuned version of yiyanghkust/finbert-tone on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6716
- Accuracy: 0.6
- Precision: 1.0
- Recall: 0.6
- F1: 0.75
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 3.7284 | 0.6 | 1.0 | 0.6 | 0.75 |
| No log | 2.0 | 4 | 3.7098 | 0.6 | 1.0 | 0.6 | 0.75 |
| No log | 3.0 | 6 | 3.6716 | 0.6 | 1.0 | 0.6 | 0.75 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.7.1+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- bert
- Created
- Jul 7, 2025
- Updated
- Jul 7, 2025