---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: v4
  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. -->

# v4

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the childes dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4543
- Wer: 29.6250

## 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: 1e-05
- train_batch_size: 16
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0679        | 2.05  | 1000 | 0.3421          | 25.1885 |
| 0.0187        | 4.11  | 2000 | 0.4067          | 25.3238 |
| 0.0045        | 6.16  | 3000 | 0.4340          | 25.5848 |
| 0.0006        | 8.21  | 4000 | 0.4543          | 29.6250 |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3