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geoplantbert_text_classification_model
CesarLeblanc/geoplantbert_text_classification_model
geoplantbert_text_classification_model is a text classification model from CesarLeblanc. 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 3, 2023
- Updated
- Jan 30, 2024
- SHA
- 01734cae
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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. -->
geoplantbert_text_classification_model
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2249
- Accuracy: 0.0948
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: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.1776 | 1.0 | 68400 | 4.2204 | 0.0948 |
| 4.2058 | 2.0 | 136800 | 4.2118 | 0.0948 |
| 4.1949 | 3.0 | 205200 | 4.2219 | 0.0948 |
| 4.1297 | 4.0 | 273600 | 4.2298 | 0.0948 |
| 4.2056 | 5.0 | 342000 | 4.2249 | 0.0948 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 3, 2023
- Updated
- Jan 30, 2024