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

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: 0.4126
- Wer: 16.1319
- Gpt: 8.1573

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Gpt    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 1.4571        | 1.0   | 63   | 0.4337          | 33.9572 | 8.0230 |
| 0.176         | 2.0   | 126  | 0.3830          | 31.2834 | 7.9877 |
| 0.0563        | 3.0   | 189  | 0.3942          | 16.5775 | 8.1149 |
| 0.0192        | 4.0   | 252  | 0.4223          | 15.6863 | 7.9620 |
| 0.0079        | 5.0   | 315  | 0.4049          | 15.5080 | 7.6897 |
| 0.0023        | 6.0   | 378  | 0.4126          | 16.1319 | 8.1573 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3