---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
  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. -->

# openai/whisper-medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2790
- Wer: 8.3986
- Cer: 5.2582

## 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: 32
- 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: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|
| 0.1691        | 1.01  | 1000  | 0.1871          | 10.1740 | 6.3509 |
| 0.0916        | 2.02  | 2000  | 0.1691          | 8.9797  | 5.5499 |
| 0.0452        | 3.03  | 3000  | 0.1902          | 8.9814  | 5.5867 |
| 0.0213        | 4.04  | 4000  | 0.2062          | 8.9375  | 5.6531 |
| 0.0096        | 5.05  | 5000  | 0.2284          | 8.7331  | 5.6202 |
| 0.0041        | 6.05  | 6000  | 0.2395          | 8.5051  | 5.3009 |
| 0.0022        | 7.06  | 7000  | 0.2535          | 8.5507  | 5.3640 |
| 0.001         | 8.07  | 8000  | 0.2656          | 8.5557  | 5.3791 |
| 0.0006        | 9.08  | 9000  | 0.2721          | 8.4037  | 5.2739 |
| 0.0004        | 10.09 | 10000 | 0.2790          | 8.3986  | 5.2582 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2