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Finetune_XLM_R_large_QA
DatTran0509/Finetune_XLM_R_large_QA
Finetune_XLM_R_large_QA is a question answering model from DatTran0509. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 3, 2025
- Updated
- May 31, 2025
- SHA
- e3e73b01
Try a prompt
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. -->
Finetune_XLM_R_large_QA
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4169
- Exact: 72.8107
- F1: 84.3095
- Total: 3814
- Hasans Exact: 72.8107
- Hasans F1: 84.3095
- Hasans Total: 3814
- Best Exact: 72.8107
- Best Exact Thresh: 0.0
- Best F1: 84.3095
- Best F1 Thresh: 0.0
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact | F1 | Total | Hasans Exact | Hasans F1 | Hasans Total | Best Exact | Best Exact Thresh | Best F1 | Best F1 Thresh |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.1561 | 1.0 | 1364 | 1.1712 | 72.0241 | 82.5916 | 3814 | 72.0241 | 82.5916 | 3814 | 72.0241 | 0.0 | 82.5916 | 0.0 |
| 0.8571 | 2.0 | 2728 | 1.2553 | 75.0131 | 86.3057 | 3814 | 75.0131 | 86.3057 | 3814 | 75.0131 | 0.0 | 86.3057 | 0.0 |
| 0.6433 | 3.0 | 4092 | 1.3509 | 71.4473 | 82.3763 | 3814 | 71.4473 | 82.3763 | 3814 | 71.4473 | 0.0 | 82.3763 | 0.0 |
| 0.4305 | 4.0 | 5456 | 1.4169 | 72.8107 | 84.3095 | 3814 | 72.8107 | 84.3095 | 3814 | 72.8107 | 0.0 | 84.3095 | 0.0 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 3, 2025
- Updated
- May 31, 2025