---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-english-TIMIT-phoneme_v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base960-english-phoneme_v3

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: 0.3697
- Cer: 0.0987


## Training and evaluation data

Training: TIMIT dataset training + validation set
Evaluation: TIMIT dataset test set

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.2678        | 6.94  | 500  | 0.2347          | 0.0874 |
| 0.25          | 13.88 | 1000 | 0.3358          | 0.1122 |
| 0.2126        | 20.83 | 1500 | 0.3865          | 0.1131 |
| 0.1397        | 27.77 | 2000 | 0.4162          | 0.1085 |
| 0.0916        | 34.72 | 2500 | 0.4429          | 0.1086 |
| 0.0594        | 41.66 | 3000 | 0.3697          | 0.0987 |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1.post201
- Datasets 2.5.2.dev0
- Tokenizers 0.12.1