---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: m_albert_qa_model
  results: []
---

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# m_albert_qa_model

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8510

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 32   | 2.6117          |
| No log        | 2.0   | 64   | 2.5636          |
| No log        | 3.0   | 96   | 2.6828          |
| No log        | 4.0   | 128  | 2.8268          |
| No log        | 5.0   | 160  | 2.8510          |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2