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results_german
AvianaKahn/results_german
results_german is a text classification model from AvianaKahn. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024
- SHA
- 0e07b0ee
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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. -->
results_german
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3821
- Accuracy: 0.6464
- Precision: 0.6635
- Recall: 0.6464
- F1: 0.6480
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 181 | 1.0217 | 0.5276 | 0.4372 | 0.5276 | 0.4522 |
| No log | 2.0 | 362 | 0.9691 | 0.5359 | 0.6815 | 0.5359 | 0.4655 |
| 0.9831 | 3.0 | 543 | 0.9005 | 0.6077 | 0.6064 | 0.6077 | 0.6057 |
| 0.9831 | 4.0 | 724 | 0.8882 | 0.6243 | 0.6475 | 0.6243 | 0.6268 |
| 0.9831 | 5.0 | 905 | 0.9119 | 0.6243 | 0.6576 | 0.6243 | 0.6286 |
| 0.725 | 6.0 | 1086 | 0.9493 | 0.6492 | 0.6588 | 0.6492 | 0.6512 |
| 0.725 | 7.0 | 1267 | 1.0316 | 0.6409 | 0.6617 | 0.6409 | 0.6419 |
| 0.725 | 8.0 | 1448 | 1.1723 | 0.6492 | 0.6529 | 0.6492 | 0.6500 |
| 0.5024 | 9.0 | 1629 | 1.3081 | 0.6271 | 0.6335 | 0.6271 | 0.6288 |
| 0.5024 | 10.0 | 1810 | 1.3821 | 0.6464 | 0.6635 | 0.6464 | 0.6480 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024