---
license: apache-2.0
base_model: albert-base-v1
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: cs4248_albert_bilstm_qa
  results: []
---

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# cs4248_albert_bilstm_qa

This model is a fine-tuned version of [albert-base-v1](https://huggingface.co/albert-base-v1) on the squad 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: 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



### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1