---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-nia12_phone-ipa_english
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-nia12_phone-ipa_english

This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the TIMIT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1531
- Per: 0.0638

## Model description

More information needed

## Training and evaluation data

Trained & Evaluated on TIMIT dataset

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 16
- 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: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Step | Validation Loss | Per    |
|:-------------:|:----:|:---------------:|:------:|
| 2.0846        | 500  | 0.1810          | 0.0991 |
| 0.1857        | 1000 | 0.1411          | 0.0691 |
| 0.0948        | 1500 | 0.1345          | 0.0666 |
| 0.0646        | 2000 | 0.1444          | 0.0673 |
| 0.0502        | 2500 | 0.1436          | 0.0628 |
| 0.0381        | 3000 | 0.1383          | 0.0637 |
| 0.0309        | 3500 | 0.1533          | 0.0638 |
| 0.0261        | 4000 | 0.1531          | 0.0638 |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.2.dev0
- Tokenizers 0.12.1