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brick_globus_classificator_results
sianbrumm/brick_globus_classificator_results
brick_globus_classificator_results is a machine learning model from sianbrumm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 10, 2025
- Updated
- Mar 10, 2025
- SHA
- c6bbb061
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. -->
brick_globus_classificator_results
This model is a fine-tuned version of dbmdz/bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5291
- Precision: 0.8181
- Recall: 0.8181
- F1: 0.8181
- Accuracy: 0.8181
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 5.1854 | 1.0 | 1092 | 4.6077 | 0.2554 | 0.2554 | 0.2554 | 0.2554 |
| 4.2591 | 2.0 | 2184 | 3.5261 | 0.4344 | 0.4344 | 0.4344 | 0.4344 |
| 3.4466 | 3.0 | 3276 | 2.6775 | 0.5464 | 0.5464 | 0.5464 | 0.5464 |
| 2.7402 | 4.0 | 4368 | 2.0666 | 0.6087 | 0.6087 | 0.6087 | 0.6087 |
| 2.2263 | 5.0 | 5460 | 1.5833 | 0.6608 | 0.6608 | 0.6608 | 0.6608 |
| 1.6505 | 6.0 | 6552 | 1.2304 | 0.7085 | 0.7085 | 0.7085 | 0.7085 |
| 1.3537 | 7.0 | 7644 | 0.9914 | 0.7426 | 0.7426 | 0.7426 | 0.7426 |
| 1.0618 | 8.0 | 8736 | 0.8032 | 0.7714 | 0.7714 | 0.7714 | 0.7714 |
| 0.9101 | 9.0 | 9828 | 0.6798 | 0.7826 | 0.7826 | 0.7826 | 0.7826 |
| 0.7708 | 10.0 | 10920 | 0.5947 | 0.8006 | 0.8006 | 0.8006 | 0.8006 |
| 0.6507 | 11.0 | 12012 | 0.5468 | 0.8152 | 0.8152 | 0.8152 | 0.8152 |
| 0.5995 | 12.0 | 13104 | 0.5291 | 0.8181 | 0.8181 | 0.8181 | 0.8181 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.4.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
- Type
- bert
- License
- mit
- Created
- Mar 10, 2025
- Updated
- Mar 10, 2025