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

# whisper_medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8150
- Cer: 18.5268
- Wer: 29.2412

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Cer     | Validation Loss | Wer     |
|:-------------:|:-------:|:-----:|:-------:|:---------------:|:-------:|
| 1.2907        | 0.9999  | 4710  | 23.0132 | 0.7406          | 36.5517 |
| 0.7187        | 2.0     | 9421  | 20.8767 | 0.7060          | 33.3982 |
| 0.6           | 2.9997  | 14130 | 19.9648 | 0.6988          | 31.7264 |
| 0.5865        | 3.9999  | 18840 | 20.0014 | 0.7123          | 31.6218 |
| 0.5186        | 5.0     | 23551 | 19.2677 | 0.7172          | 30.4461 |
| 0.472         | 5.9997  | 28260 | 18.9852 | 0.7162          | 30.0906 |
| 0.4797        | 6.9999  | 32970 | 19.3379 | 0.7248          | 30.4956 |
| 0.4354        | 8.0     | 37681 | 19.2062 | 0.7400          | 30.2514 |
| 0.4001        | 8.9999  | 42391 | 19.0646 | 0.7527          | 29.9263 |
| 0.3767        | 9.9996  | 47100 | 18.7777 | 0.7587          | 29.5899 |
| 0.3792        | 10.9999 | 51810 | 18.6863 | 0.7727          | 29.4977 |
| 0.3552        | 12.0    | 56521 | 18.5969 | 0.7830          | 29.4470 |
| 0.3371        | 12.9997 | 61230 | 18.6109 | 0.7887          | 29.4437 |
| 0.3418        | 13.9999 | 65940 | 0.7929  | 18.6870         | 29.5922 |
| 0.3225        | 15.0    | 70651 | 0.8090  | 18.6225         | 29.4099 |
| 0.3084        | 15.9997 | 75360 | 0.8150  | 18.5268         | 29.2412 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1