---
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-tiny
  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-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/EngMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6241
- Wer: 29.3019

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.8114        | 1.0   | 2266  | 0.8947          | 35.8609 |
| 0.5582        | 2.0   | 4532  | 0.9096          | 44.9746 |
| 0.3646        | 3.0   | 6798  | 0.9616          | 33.8310 |
| 0.2497        | 4.0   | 9064  | 1.0257          | 35.3593 |
| 0.1953        | 5.0   | 11330 | 1.1146          | 33.6587 |
| 0.1151        | 6.0   | 13596 | 1.2047          | 35.6933 |
| 0.083         | 7.0   | 15862 | 1.2631          | 32.3759 |
| 0.068         | 8.0   | 18128 | 1.3303          | 33.5213 |
| 0.0389        | 9.0   | 20394 | 1.3732          | 31.8373 |
| 0.0272        | 10.0  | 22660 | 1.4187          | 32.7587 |
| 0.0244        | 11.0  | 24926 | 1.4516          | 32.2493 |
| 0.0173        | 12.0  | 27192 | 1.4985          | 32.1704 |
| 0.0109        | 13.0  | 29458 | 1.5192          | 31.6727 |
| 0.0045        | 14.0  | 31724 | 1.5456          | 30.2837 |
| 0.0043        | 15.0  | 33990 | 1.5739          | 30.1902 |
| 0.0017        | 16.0  | 36256 | 1.5916          | 30.6646 |
| 0.0006        | 17.0  | 38522 | 1.6012          | 29.8425 |
| 0.0002        | 18.0  | 40788 | 1.6050          | 29.3857 |
| 0.0013        | 19.0  | 43054 | 1.6176          | 29.7792 |
| 0.0001        | 20.0  | 45320 | 1.6241          | 29.3019 |


### Framework versions

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