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---
license: cc-by-nc-4.0
base_model: facebook/wav2vec2-base-10k-voxpopuli-ft-de
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1
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. -->
# w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1
This model is a fine-tuned version of [facebook/wav2vec2-base-10k-voxpopuli-ft-de](https://huggingface.co/facebook/wav2vec2-base-10k-voxpopuli-ft-de) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8259
- Wer: 0.1632
## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 60
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8086 | 5.43 | 250 | 0.8872 | 0.2456 |
| 0.1358 | 10.87 | 500 | 1.1126 | 0.1858 |
| 0.0916 | 16.3 | 750 | 1.5579 | 0.1991 |
| 0.0716 | 21.74 | 1000 | 1.2674 | 0.1833 |
| 0.0584 | 27.17 | 1250 | 1.6728 | 0.1768 |
| 0.0464 | 32.61 | 1500 | 1.8259 | 0.1632 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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