---
base_model: patrickvonplaten/wav2vec2-xls-r-phoneme-300m-tr
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-phoneme-300m-tr-ogma-phoneme
  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. -->

# wav2vec2-xls-r-phoneme-300m-tr-ogma-phoneme

This model is a fine-tuned version of [patrickvonplaten/wav2vec2-xls-r-phoneme-300m-tr](https://huggingface.co/patrickvonplaten/wav2vec2-xls-r-phoneme-300m-tr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6886
- Cer: 0.7624

## 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: 8
- 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: 100
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.8242        | 1.0   | 17   | 10.2075         | 1.7574 |
| 7.5139        | 2.0   | 34   | 6.2677          | 1.8317 |
| 4.93          | 3.0   | 51   | 4.4229          | 0.9950 |
| 3.787         | 4.0   | 68   | 3.6279          | 0.9604 |
| 3.2056        | 5.0   | 85   | 3.3155          | 0.9109 |
| 2.8302        | 6.0   | 102  | 3.0498          | 0.8515 |
| 2.6059        | 7.0   | 119  | 2.9567          | 0.8366 |
| 2.3369        | 8.0   | 136  | 2.8454          | 0.8465 |
| 2.0347        | 9.0   | 153  | 2.7595          | 0.8663 |
| 1.787         | 10.0  | 170  | 2.8327          | 0.8416 |
| 1.5493        | 11.0  | 187  | 2.7142          | 0.8465 |
| 1.3992        | 12.0  | 204  | 2.7668          | 0.8713 |
| 1.3539        | 13.0  | 221  | 2.7595          | 0.8465 |
| 1.1791        | 14.0  | 238  | 2.6278          | 0.8366 |
| 1.1649        | 15.0  | 255  | 2.8350          | 0.8564 |
| 1.0361        | 16.0  | 272  | 2.7286          | 0.7921 |
| 0.9179        | 17.0  | 289  | 2.6409          | 0.7772 |
| 0.8338        | 18.0  | 306  | 2.6040          | 0.7574 |
| 0.7847        | 19.0  | 323  | 2.7403          | 0.8564 |
| 0.82          | 20.0  | 340  | 2.6313          | 0.8168 |
| 0.753         | 21.0  | 357  | 2.5469          | 0.8168 |
| 0.6124        | 22.0  | 374  | 2.5799          | 0.7822 |
| 0.6236        | 23.0  | 391  | 2.6548          | 0.8069 |
| 0.5955        | 24.0  | 408  | 2.6331          | 0.8317 |
| 0.592         | 25.0  | 425  | 2.6168          | 0.8366 |
| 0.5169        | 26.0  | 442  | 2.6168          | 0.8069 |
| 0.5012        | 27.0  | 459  | 2.5482          | 0.7723 |
| 0.44          | 28.0  | 476  | 2.6088          | 0.8020 |
| 0.4243        | 29.0  | 493  | 2.6753          | 0.7871 |
| 0.4824        | 30.0  | 510  | 2.6886          | 0.7624 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2