transformers tensorboard safetensors bert question-answering generated_from_trainer base_model:google-bert/bert-base-cased base_model:finetune:google-bert/bert-base-cased license:apache-2.0 endpoints_compatible region:us
---
base_model: bert-base-cased
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: QA_squatdataset_nlp_model
  results: []
---

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# QA_squatdataset_nlp_model

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.

## Model description

Model is useful for Question Answering problems

## Intended uses & limitations

More information needed

## Training and evaluation data

SQuAD dataset is used

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
