---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: cs4248_albert-base-v2_bilstm_qa
  results: []
---

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# cs4248_albert-base-v2_bilstm_qa

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co./albert-base-v2) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9086

## 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: 8
- eval_batch_size: 8
- seed: 4248
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4082        | 1.0   | 500  | 4.4031          |
| 3.951         | 2.0   | 1000 | 4.3329          |
| 3.6099        | 3.0   | 1500 | 4.3608          |
| 3.3651        | 4.0   | 2000 | 4.4929          |
| 3.0356        | 5.0   | 2500 | 4.5390          |
| 2.8111        | 6.0   | 3000 | 4.7661          |
| 2.5587        | 7.0   | 3500 | 4.8550          |
| 2.4021        | 8.0   | 4000 | 4.9086          |


### Framework versions

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