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results_english
AvianaKahn/results_english
results_english is a text classification model from AvianaKahn. 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
- Nov 9, 2024
- Updated
- Nov 9, 2024
- SHA
- a4338888
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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. -->
results_english
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: 1.5695
- Accuracy: 0.7230
- Precision: 0.7226
- Recall: 0.7230
- F1: 0.7227
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 264 | 0.8641 | 0.6679 | 0.6875 | 0.6679 | 0.6553 |
| 0.8815 | 2.0 | 528 | 0.7834 | 0.7116 | 0.7226 | 0.7116 | 0.7142 |
| 0.8815 | 3.0 | 792 | 0.8200 | 0.7211 | 0.7216 | 0.7211 | 0.7188 |
| 0.6553 | 4.0 | 1056 | 0.8568 | 0.7211 | 0.7214 | 0.7211 | 0.7212 |
| 0.6553 | 5.0 | 1320 | 0.8613 | 0.7211 | 0.7215 | 0.7211 | 0.7212 |
| 0.4667 | 6.0 | 1584 | 1.0583 | 0.7230 | 0.7225 | 0.7230 | 0.7210 |
| 0.4667 | 7.0 | 1848 | 1.3072 | 0.7438 | 0.7449 | 0.7438 | 0.7420 |
| 0.3729 | 8.0 | 2112 | 1.5295 | 0.7192 | 0.7189 | 0.7192 | 0.7189 |
| 0.3729 | 9.0 | 2376 | 1.5407 | 0.7192 | 0.7176 | 0.7192 | 0.7181 |
| 0.2622 | 10.0 | 2640 | 1.5695 | 0.7230 | 0.7226 | 0.7230 | 0.7227 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024