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xlm-roberta-base-finetuned-autext24-subtask2
andricValdez/xlm-roberta-base-finetuned-autext24-subtask2
xlm-roberta-base-finetuned-autext24-subtask2 is a text classification model from andricValdez. 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
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- f15e99fc
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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-autext24-subtask2
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: 0.9479
- Accuracy: 0.8134
- F1: 0.8145
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 2571 | 0.8024 | 0.7014 | 0.6956 |
| 0.6672 | 2.0 | 5142 | 0.6432 | 0.7777 | 0.7795 |
| 0.6672 | 3.0 | 7713 | 0.6810 | 0.8007 | 0.8019 |
| 0.2587 | 4.0 | 10284 | 0.8929 | 0.7967 | 0.7978 |
| 0.2587 | 5.0 | 12855 | 0.9479 | 0.8134 | 0.8145 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024