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roberta-large-finetuned-squad
SeymaCakir/roberta-large-finetuned-squad
roberta-large-finetuned-squad is a question answering model from SeymaCakir. 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
- roberta
- Access
- Public
- Created
- Jul 25, 2024
- Updated
- Jul 26, 2024
- SHA
- 1eeb51f4
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. -->
roberta-large-finetuned-squad
This model is a fine-tuned version of ozgurkk/roberta-large-finetuned-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6708
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5876 | 0.9996 | 2059 | 0.6708 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 25, 2024
- Updated
- Jul 26, 2024