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bert-base-uncased-textCLS-RHEOLOGY-20230913-1
jonas-luehrs/bert-base-uncased-textCLS-RHEOLOGY-20230913-1
bert-base-uncased-textCLS-RHEOLOGY-20230913-1 is a text classification model from jonas-luehrs. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023
- SHA
- ffa90077
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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. -->
bert-base-uncased-textCLS-RHEOLOGY-20230913-1
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2455
- F1: 0.9192
- Precision: 0.9200
- Recall: 0.9198
- Accuracy: 0.9198
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4099 | 1.0 | 46 | 0.3148 | 0.8885 | 0.8916 | 0.8889 | 0.8889 |
| 0.2557 | 2.0 | 92 | 0.3380 | 0.8813 | 0.8876 | 0.8827 | 0.8827 |
| 0.1543 | 3.0 | 138 | 0.2881 | 0.8931 | 0.8947 | 0.8951 | 0.8951 |
| 0.1041 | 4.0 | 184 | 0.2681 | 0.9001 | 0.9015 | 0.9012 | 0.9012 |
| 0.0743 | 5.0 | 230 | 0.2455 | 0.9192 | 0.9200 | 0.9198 | 0.9198 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023