---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: svenbl80/albert-base-v2-finetuned-mnli
  results: []
---

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

# svenbl80/albert-base-v2-finetuned-mnli

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:
- Train Loss: 0.2712
- Validation Loss: 0.4705
- Train Accuracy: 0.8264
- Epoch: 3

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 736290, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.5312     | 0.4792          | 0.8117         | 0     |
| 0.4204     | 0.4335          | 0.8344         | 1     |
| 0.3465     | 0.4351          | 0.8317         | 2     |
| 0.2712     | 0.4705          | 0.8264         | 3     |


### Framework versions

- Transformers 4.28.0
- TensorFlow 2.7.0
- Datasets 2.3.2
- Tokenizers 0.12.1