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mbert-bengali-tydiqa-qa-finetuned-RQA-factoid
AsifAbrar6/mbert-bengali-tydiqa-qa-finetuned-RQA-factoid
mbert-bengali-tydiqa-qa-finetuned-RQA-factoid is a question answering model from AsifAbrar6. 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
- bert
- Access
- Public
- Created
- Jun 11, 2024
- Updated
- Jun 11, 2024
- SHA
- 5cd8f3c4
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. -->
mbert-bengali-tydiqa-qa-finetuned-RQA-factoid
This model is a fine-tuned version of sagorsarker/mbert-bengali-tydiqa-qa on the preprocessed only factoid based dataset BanglaRQA. It achieves the following results on the evaluation set:
- eval_loss: 0.7239
- eval_runtime: 34.5513
- eval_samples_per_second: 76.726
- eval_steps_per_second: 4.804
- epoch: 3.0
- step: 3999
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- bn
- Created
- Jun 11, 2024
- Updated
- Jun 11, 2024