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xlm-roberta-base-finetuned-raw
5imp5on/xlm-roberta-base-finetuned-raw
xlm-roberta-base-finetuned-raw is a text classification model from 5imp5on. 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
- May 22, 2024
- Updated
- May 24, 2024
- SHA
- 72189cda
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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. -->
xlm-roberta-base-finetuned-raw
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: 0.5389
- Accuracy: 0.8433
- F1: 0.8419
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
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.2705 | 1.0 | 1699 | 0.7376 | 0.7816 | 0.7763 |
| 0.6359 | 2.0 | 3398 | 0.5830 | 0.8251 | 0.8238 |
| 0.482 | 3.0 | 5097 | 0.5476 | 0.8388 | 0.8366 |
| 0.3873 | 4.0 | 6796 | 0.5389 | 0.8433 | 0.8419 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 22, 2024
- Updated
- May 24, 2024