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my_awesome_qa_model
efecelik/my_awesome_qa_model
my_awesome_qa_model is a machine learning model from efecelik. 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 apache-2.0.
This is real link of this model: https://huggingface.co/docs/transformers/tasks/questionanswering
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- 48ea87a5
Base models
Model card
From the Hugging Face model README
This is real link of this model: https://huggingface.co/docs/transformers/tasks/question_answering
I wrote it to understand the basic logic.
my_awesome_qa_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.6236
Model description
This model was written using the Hugging Face question_answering site.
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.1966 |
| 2.6617 | 2.0 | 500 | 1.6980 |
| 2.6617 | 3.0 | 750 | 1.6236 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024