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# Albert-finetuned-stationary-update

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: 1.7542
- Accuracy: 0.5967
- F1: 0.5862

## 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: 64
- eval_batch_size: 64
- 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3976        | 1.0   | 38   | 0.8830          | 0.6033   | 0.5849 |
| 0.3105        | 2.0   | 76   | 0.9030          | 0.63     | 0.5876 |
| 0.2256        | 3.0   | 114  | 1.2156          | 0.6333   | 0.6366 |
| 0.1788        | 4.0   | 152  | 1.3055          | 0.6      | 0.5857 |
| 0.161         | 5.0   | 190  | 1.2205          | 0.59     | 0.5808 |
| 0.1304        | 6.0   | 228  | 1.5496          | 0.5933   | 0.5804 |
| 0.1046        | 7.0   | 266  | 1.6266          | 0.59     | 0.5915 |
| 0.0966        | 8.0   | 304  | 1.6807          | 0.6033   | 0.5971 |
| 0.0649        | 9.0   | 342  | 1.7279          | 0.5967   | 0.5831 |
| 0.0697        | 10.0  | 380  | 1.7542          | 0.5967   | 0.5862 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "albert-base-v2", "model-index": [{"name": "Albert-finetuned-stationary-update", "results": []}]}
transformers tensorboard safetensors albert text-classification generated_from_trainer base_model:albert-base-v2 license:apache-2.0 autotrain_compatible endpoints_compatible region:us