
<!-- 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. -->

# wav2vec2-large-xls-r-300m-german-0110-adapter-finetuning-iceberg-75h-1e-3-dim128

This model is a fine-tuned version of [vitouphy/wav2vec2-xls-r-300m-english](https://huggingface.co/vitouphy/wav2vec2-xls-r-300m-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1357
- Wer: 0.1003

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 969
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.1185        | 1.0   | 969   | 0.1891          | 0.2101 |
| 0.139         | 2.0   | 1938  | 0.1442          | 0.1574 |
| 0.1063        | 3.0   | 2907  | 0.1300          | 0.1455 |
| 0.0911        | 4.0   | 3876  | 0.1285          | 0.1441 |
| 0.0783        | 5.0   | 4845  | 0.1222          | 0.1411 |
| 0.0665        | 6.0   | 5814  | 0.1129          | 0.1203 |
| 0.0561        | 7.0   | 6783  | 0.1061          | 0.1128 |
| 0.0512        | 8.0   | 7752  | 0.1082          | 0.1166 |
| 0.0436        | 9.0   | 8721  | 0.1106          | 0.1101 |
| 0.0357        | 10.0  | 9690  | 0.1109          | 0.1073 |
| 0.0308        | 11.0  | 10659 | 0.1119          | 0.1061 |
| 0.0247        | 12.0  | 11628 | 0.1164          | 0.1054 |
| 0.0191        | 13.0  | 12597 | 0.1250          | 0.1019 |
| 0.0151        | 14.0  | 13566 | 0.1284          | 0.1004 |
| 0.012         | 15.0  | 14535 | 0.1357          | 0.1003 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "vitouphy/wav2vec2-xls-r-300m-english", "model-index": [{"name": "wav2vec2-large-xls-r-300m-german-0110-adapter-finetuning-iceberg-75h-1e-3-dim128", "results": []}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:vitouphy/wav2vec2-xls-r-300m-english license:apache-2.0 endpoints_compatible region:us