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---
library_name: transformers
tags:
- generated_from_keras_callback
model-index:
- name: DistilBERT-base-uncased-english-finetuned-squad
results: []
datasets:
- rajpurkar/squad
language:
- en
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: question-answering
---
# DistilBERT-base-uncased-english-finetuned-squad
This model was finetuned on squad dataset.
Use TFDistilBertForQuestionAnswering to import model.
Requires DistilBertTokenizerFast to generate tokens that are accepted by this model.
## Model description
Base DistilBERT model finetuned using squad dataset for NLP tasks such as context based question answering.
## Training procedure
Trained for 3 epochs.
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: Adam with learning_rate=5e-5
- training_precision: float32
### Training results
Loss on final epoch: 0.6417 & validation loss: 1.2772
evaluation yet to be done.
### Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.0
- Tokenizers 0.19.1 |