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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# albertbase-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: 1.0115

## 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

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.897         | 1.0   | 4380  | 0.9106          |
| 0.671         | 2.0   | 8760  | 0.8892          |
| 0.476         | 3.0   | 13140 | 1.0115          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1