---
language:
- en
license: apache-2.0
base_model: openai/whisper-medium
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 pphuc25/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3644
- Wer: 27.0471

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.9369        | 1.0   | 3491  | 1.0416          | 45.5524 |
| 0.6193        | 2.0   | 6982  | 0.9804          | 37.6418 |
| 0.3774        | 3.0   | 10473 | 0.9933          | 42.7926 |
| 0.268         | 4.0   | 13964 | 1.0419          | 34.9683 |
| 0.2095        | 5.0   | 17455 | 1.1003          | 32.7617 |
| 0.1284        | 6.0   | 20946 | 1.1458          | 31.5065 |
| 0.0925        | 7.0   | 24437 | 1.1670          | 31.7984 |
| 0.0932        | 8.0   | 27928 | 1.2259          | 30.5314 |
| 0.0612        | 9.0   | 31419 | 1.2532          | 32.1152 |
| 0.0489        | 10.0  | 34910 | 1.2556          | 30.6472 |
| 0.0313        | 11.0  | 38401 | 1.3001          | 30.0870 |
| 0.0241        | 12.0  | 41892 | 1.2982          | 30.4427 |
| 0.0237        | 13.0  | 45383 | 1.3242          | 29.9322 |
| 0.0186        | 14.0  | 48874 | 1.3390          | 28.2798 |
| 0.0063        | 15.0  | 52365 | 1.3588          | 29.5764 |
| 0.0041        | 16.0  | 55856 | 1.3580          | 28.5777 |
| 0.0014        | 17.0  | 59347 | 1.3533          | 27.6901 |
| 0.0014        | 18.0  | 62838 | 1.3609          | 28.0742 |
| 0.0001        | 19.0  | 66329 | 1.3597          | 28.3330 |
| 0.0002        | 20.0  | 69820 | 1.3644          | 27.0471 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1