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hope_no_hope_roberta
Rizwan553/hope_no_hope_roberta
hope_no_hope_roberta is a machine learning model from Rizwan553. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 13, 2025
- Updated
- Aug 13, 2025
- SHA
- 4b57cb21
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. -->
hope_no_hope_roberta
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: 0.6689
- Accuracy: 0.8064
- Precision: 0.8104
- Recall: 0.8064
- F1: 0.8072
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6877 | 1.0 | 220 | 0.6781 | 0.5558 | 0.5156 | 0.5558 | 0.4830 |
| 0.6721 | 2.0 | 440 | 0.6454 | 0.6834 | 0.7470 | 0.6834 | 0.6376 |
| 0.6282 | 3.0 | 660 | 0.5235 | 0.7950 | 0.7944 | 0.7950 | 0.7936 |
| 0.5074 | 4.0 | 880 | 0.5644 | 0.7608 | 0.7752 | 0.7608 | 0.7620 |
| 0.4614 | 5.0 | 1100 | 0.5684 | 0.8109 | 0.8112 | 0.8109 | 0.8091 |
| 0.4344 | 6.0 | 1320 | 0.6072 | 0.8087 | 0.8215 | 0.8087 | 0.8096 |
| 0.3756 | 7.0 | 1540 | 0.5969 | 0.8132 | 0.8128 | 0.8132 | 0.8129 |
| 0.3565 | 8.0 | 1760 | 0.6550 | 0.8200 | 0.8271 | 0.8200 | 0.8209 |
| 0.2947 | 9.0 | 1980 | 0.6658 | 0.8018 | 0.8040 | 0.8018 | 0.8024 |
| 0.2602 | 10.0 | 2200 | 0.6689 | 0.8064 | 0.8104 | 0.8064 | 0.8072 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 13, 2025
- Updated
- Aug 13, 2025