---
license: apache-2.0
base_model: mattbonnell/wav2vec2-base-wonders-phonemes
tags:
- generated_from_trainer
datasets:
- transcribed_calls
metrics:
- wer
model-index:
- name: wav2vec2-base-wonders-phonemes
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: transcribed_calls
      type: transcribed_calls
      config: default
      split: None
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

<!-- 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-base-wonders-phonemes

This model is a fine-tuned version of [mattbonnell/wav2vec2-base-wonders-phonemes](https://huggingface.co/mattbonnell/wav2vec2-base-wonders-phonemes) on the transcribed_calls dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0

## 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 | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0           | 2.5   | 5    | nan             | 1.0 |
| 0.0           | 5.0   | 10   | nan             | 1.0 |
| 0.0           | 7.5   | 15   | nan             | 1.0 |
| 0.0           | 10.0  | 20   | nan             | 1.0 |
| 0.0           | 12.5  | 25   | nan             | 1.0 |
| 0.0           | 15.0  | 30   | nan             | 1.0 |
| 0.0           | 17.5  | 35   | nan             | 1.0 |
| 0.0           | 20.0  | 40   | nan             | 1.0 |
| 0.0           | 22.5  | 45   | nan             | 1.0 |
| 0.0           | 25.0  | 50   | nan             | 1.0 |
| 0.0           | 27.5  | 55   | nan             | 1.0 |
| 0.0           | 30.0  | 60   | nan             | 1.0 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0.dev20240314+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2