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MultiLabel-BankCustomerReview-bert-sentiment-analysis2
muralik0115/MultiLabel-BankCustomerReview-bert-sentiment-analysis2
MultiLabel-BankCustomerReview-bert-sentiment-analysis2 is a machine learning model from muralik0115. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 25, 2024
- Updated
- Jul 25, 2024
- SHA
- 1e44a074
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. -->
MultiLabel-BankCustomerReview-bert-sentiment-analysis2
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0758
- F1 Micro: 0.25
- F1 Macro: 0.0521
- Acc: 0.25
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: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Acc |
|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 5.0999 | 0.2 | 0.0410 | 0.2 |
| No log | 2.0 | 2 | 5.0758 | 0.25 | 0.0521 | 0.25 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 25, 2024
- Updated
- Jul 25, 2024