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FinBERT-Twitter-BTC
NaturalStupidlty/FinBERT-Twitter-BTC
FinBERT-Twitter-BTC is a text classification model from NaturalStupidlty. 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
- Mar 27, 2023
- Updated
- Apr 2, 2023
- SHA
- 822e202e
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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-Twitter-BTC
This model is a fine-tuned version of yiyanghkust/finbert-pretrain on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1871
- F1: 0.9589
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2051 | 1.0 | 3556 | 0.1965 | 0.9378 |
| 0.1475 | 2.0 | 7112 | 0.1586 | 0.9527 |
| 0.1004 | 3.0 | 10668 | 0.1674 | 0.9572 |
| 0.0612 | 4.0 | 14224 | 0.1871 | 0.9589 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 27, 2023
- Updated
- Apr 2, 2023