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# albert

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0045

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 26   | 1.0878          |
| No log        | 2.0   | 52   | 0.9827          |
| No log        | 3.0   | 78   | 1.0045          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "albert-base-v2", "model-index": [{"name": "albert", "results": []}]}
transformers tensorboard safetensors albert multiple-choice generated_from_trainer base_model:albert-base-v2 license:apache-2.0 endpoints_compatible region:us