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stock_sentiment_hp
slisowski/stock_sentiment_hp
stock_sentiment_hp is a text classification model from slisowski. 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
- Nov 22, 2022
- Updated
- Nov 23, 2022
- SHA
- b29b3392
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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. -->
stock_sentiment_hp
This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3513
- Accuracy: 0.7899
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: 1.1207606211860571e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 2
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 325 | 0.3687 | 0.7652 |
| 0.3705 | 2.0 | 650 | 0.3336 | 0.7809 |
| 0.3705 | 3.0 | 975 | 0.3449 | 0.7926 |
| 0.2435 | 4.0 | 1300 | 0.3513 | 0.7899 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 22, 2022
- Updated
- Nov 23, 2022