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xlm_roberta_v2
MahdisHosseini/xlm_roberta_v2
xlm_roberta_v2 is a machine learning model from MahdisHosseini. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 15, 2025
- Updated
- May 15, 2025
- SHA
- b85aed12
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_v2
This model is a fine-tuned version of pedramyazdipoor/persian_xlm_roberta_large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3665
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3586 | 0.3 | 300 | 1.2829 |
| 1.3966 | 0.59 | 600 | 1.2196 |
| 1.3496 | 0.89 | 900 | 1.1492 |
| 0.987 | 1.18 | 1200 | 1.2111 |
| 0.9018 | 1.48 | 1500 | 1.3665 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Type
- xlm-roberta
- Created
- May 15, 2025
- Updated
- May 15, 2025