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distilbert-base-uncased-finetuned-squad-v2
Mssrkkh/distilbert-base-uncased-finetuned-squad-v2
distilbert-base-uncased-finetuned-squad-v2 is a machine learning model from Mssrkkh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Mar 28, 2025
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21.5 GB on disk
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 27, 2025
- Updated
- Mar 28, 2025
- SHA
- 2047f3fa
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. -->
distilbert-base-uncased-finetuned-squad-v2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- transformers
- License
- apache-2.0
- Created
- Mar 27, 2025
- Updated
- Mar 28, 2025