pytorch wav2vec2 automatic-speech-recognition transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-phoneme
  results: []
---

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# wav2vec2-xls-r-300m-phoneme

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3327
- Cer: 0.1332

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2000
- training_steps: 7000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4324        | 1.32  | 1000 | 3.3693          | 0.9091 |
| 2.1751        | 2.65  | 2000 | 1.1382          | 0.2397 |
| 1.3986        | 3.97  | 3000 | 0.4886          | 0.1452 |
| 1.2285        | 5.3   | 4000 | 0.3842          | 0.1351 |
| 1.142         | 6.62  | 5000 | 0.3505          | 0.1349 |
| 1.1075        | 7.95  | 6000 | 0.3323          | 0.1317 |
| 1.0867        | 9.27  | 7000 | 0.3265          | 0.1315 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0
