---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
model-index:
- name: ASR_Germen_Wav2Vec2_Local_Train
  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. -->

# ASR_Germen_Wav2Vec2_Local_Train

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: 0.3619
- Per: 0.1676

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 15000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Per    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 0.6277        | 0.1630 | 3000  | 0.5961          | 0.2501 |
| 0.445         | 0.3259 | 6000  | 0.4649          | 0.2070 |
| 0.3751        | 0.4889 | 9000  | 0.4084          | 0.1818 |
| 0.4281        | 0.6518 | 12000 | 0.3907          | 0.1792 |
| 0.3835        | 0.8148 | 15000 | 0.3619          | 0.1676 |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.9.0+cu130
- Datasets 2.18.0
- Tokenizers 0.22.1