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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_10_0
model-index:
- name: wav2vec2-large-xls-r-300m-j-phoneme-colab
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-large-xls-r-300m-j-phoneme-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_10_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5212
- Wer: 0.2998
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.7364 | 3.0 | 2000 | 0.4703 | 0.4503 |
| 0.5673 | 6.01 | 4000 | 0.4585 | 0.3855 |
| 0.5048 | 9.01 | 6000 | 0.4567 | 0.3543 |
| 0.4567 | 12.01 | 8000 | 0.4433 | 0.3473 |
| 0.4194 | 15.02 | 10000 | 0.4491 | 0.3386 |
| 0.3905 | 18.02 | 12000 | 0.4829 | 0.3360 |
| 0.3644 | 21.02 | 14000 | 0.5032 | 0.3306 |
| 0.3441 | 24.02 | 16000 | 0.5242 | 0.3389 |
| 0.2589 | 27.03 | 18000 | 0.5212 | 0.2998 |
### Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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