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L1-classifier-Synonyms
Zlovoblachko/L1-classifier-Synonyms
L1-classifier-Synonyms is a text classification model from Zlovoblachko. 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
- Apr 11, 2024
- Updated
- May 7, 2024
- SHA
- 4020a763
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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. -->
L1-classifier-Synonyms
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:
- Loss: 0.5378
- F1: 0.7309
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 73 | 0.6306 | 0.4124 |
| No log | 2.0 | 146 | 0.5541 | 0.6410 |
| No log | 3.0 | 219 | 0.5912 | 0.6897 |
| No log | 4.0 | 292 | 0.5261 | 0.7244 |
| No log | 5.0 | 365 | 0.5378 | 0.7309 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 11, 2024
- Updated
- May 7, 2024