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zoo-intent-results
metz-stdtwist/zoo-intent-results
zoo-intent-results is a text classification model from metz-stdtwist. 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
- Oct 7, 2025
- Updated
- Oct 7, 2025
- SHA
- ab7a4181
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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. -->
zoo-intent-results
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- F1-score: 0.9945
- Loss: 0.0260
- Accuracy: 0.9966
- F1 Macro: 0.9945
- F1 Weighted: 0.9966
- F1 Info: 0.9976
- F1 Routing: 0.9981
- F1 Smalltalk: 0.9861
- F1 Fallback: 0.9963
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | F1-score | Validation Loss | Accuracy | F1 Macro | F1 Weighted | F1 Info | F1 Routing | F1 Smalltalk | F1 Fallback |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0827 | 1.0 | 8000 | 0.9879 | 0.0400 | 0.9927 | 0.9879 | 0.9928 | 0.9945 | 0.9959 | 0.9684 | 0.9928 |
| 0.0211 | 2.0 | 16000 | 0.9914 | 0.0330 | 0.9944 | 0.9914 | 0.9944 | 0.9959 | 0.9961 | 0.9793 | 0.9942 |
| 0.0142 | 3.0 | 24000 | 0.9945 | 0.0260 | 0.9966 | 0.9945 | 0.9966 | 0.9976 | 0.9981 | 0.9861 | 0.9963 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025