---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: enhanced_german
  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. -->

# enhanced_german

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6891
- Accuracy: 0.6667

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.7047          | 0.3333   |
| No log        | 2.0   | 2    | 0.6962          | 0.5      |
| No log        | 3.0   | 3    | 0.6878          | 0.5833   |
| No log        | 4.0   | 4    | 0.6962          | 0.6667   |
| No log        | 5.0   | 5    | 0.6954          | 0.6667   |
| No log        | 6.0   | 6    | 0.6951          | 0.5833   |
| No log        | 7.0   | 7    | 0.6922          | 0.5833   |
| No log        | 8.0   | 8    | 0.6907          | 0.5833   |
| No log        | 9.0   | 9    | 0.6899          | 0.5833   |
| 0.3093        | 10.0  | 10   | 0.6891          | 0.6667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1