---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: albert-qa-checkpoint
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# albert-qa-checkpoint

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3667

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3388        | 1.0   | 773  | 0.1976          |
| 0.1564        | 2.0   | 1546 | 0.2122          |
| 0.1269        | 3.0   | 2319 | 0.2261          |
| 0.1037        | 4.0   | 3092 | 0.1888          |
| 0.0797        | 5.0   | 3865 | 0.2339          |
| 0.064         | 6.0   | 4638 | 0.2969          |
| 0.0489        | 7.0   | 5411 | 0.3004          |
| 0.0386        | 8.0   | 6184 | 0.3253          |
| 0.0355        | 9.0   | 6957 | 0.3448          |
| 0.0247        | 10.0  | 7730 | 0.3667          |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3