---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-medical-internal-noise-v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-medical-internal-noise-v0

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5649
- Wer: 0.3172

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6667        | 1.14  | 150  | 0.6710          | 0.3654 |
| 0.5023        | 2.28  | 300  | 0.6016          | 0.3413 |
| 0.4384        | 3.43  | 450  | 0.5907          | 0.3325 |
| 0.3536        | 4.57  | 600  | 0.5693          | 0.3221 |
| 0.3158        | 5.71  | 750  | 0.5649          | 0.3172 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.2