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L1-classifier-WFT
Zlovoblachko/L1-classifier-WFT
L1-classifier-WFT 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
- 29cbde3c
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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-WFT
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: 0.3079
- F1: 0.9119
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 | 83 | 0.5851 | 0.6476 |
| No log | 2.0 | 166 | 0.5009 | 0.7726 |
| No log | 3.0 | 249 | 0.3615 | 0.8504 |
| No log | 4.0 | 332 | 0.3121 | 0.9119 |
| No log | 5.0 | 415 | 0.3079 | 0.9119 |
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