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results_spanish
AvianaKahn/results_spanish
results_spanish 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
- ba5edc99
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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_spanish
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: 0.9027
- Accuracy: 0.8450
- Precision: 0.8499
- Recall: 0.8450
- F1: 0.8467
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 | 258 | 1.0128 | 0.4787 | 0.5093 | 0.4787 | 0.4049 |
| 0.9423 | 2.0 | 516 | 0.8148 | 0.6512 | 0.6265 | 0.6512 | 0.6053 |
| 0.9423 | 3.0 | 774 | 0.8119 | 0.7190 | 0.7270 | 0.7190 | 0.7003 |
| 0.6017 | 4.0 | 1032 | 0.6200 | 0.8081 | 0.8079 | 0.8081 | 0.8080 |
| 0.6017 | 5.0 | 1290 | 0.8537 | 0.8120 | 0.8100 | 0.8120 | 0.8102 |
| 0.3448 | 6.0 | 1548 | 0.7217 | 0.8236 | 0.8256 | 0.8236 | 0.8245 |
| 0.3448 | 7.0 | 1806 | 0.8448 | 0.8430 | 0.8498 | 0.8430 | 0.8449 |
| 0.2702 | 8.0 | 2064 | 0.8595 | 0.8450 | 0.8564 | 0.8450 | 0.8483 |
| 0.2702 | 9.0 | 2322 | 0.9065 | 0.8469 | 0.8551 | 0.8469 | 0.8494 |
| 0.1803 | 10.0 | 2580 | 0.9027 | 0.8450 | 0.8499 | 0.8450 | 0.8467 |
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