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finbert-sec-10K
utkarshbelkhede/finbert-sec-10K
finbert-sec-10K is a text classification model from utkarshbelkhede. 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
- Dec 6, 2022
- Updated
- Dec 6, 2022
- SHA
- db544244
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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. -->
finbert
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2184
- Accuracy: 0.8947
- F1: 0.7370
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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 20 | 0.3729 | 0.8647 | 0.4637 |
| No log | 2.0 | 40 | 0.2622 | 0.8647 | 0.5134 |
| No log | 3.0 | 60 | 0.2184 | 0.8947 | 0.7370 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 6, 2022
- Updated
- Dec 6, 2022