---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-ft-GPT_2
  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_2

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: 0.2050
- Wer: 16.5802
- Gpt: 8.8352

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 0.6033        | 1.0   | 188  | 0.2203          | 22.8603 | 8.5556 |
| 0.116         | 2.0   | 376  | 0.1960          | 15.4966 | 8.7544 |
| 0.0392        | 3.0   | 564  | 0.1955          | 14.0854 | 8.9071 |
| 0.0155        | 4.0   | 752  | 0.2029          | 16.9373 | 8.7654 |
| 0.0052        | 5.0   | 940  | 0.2053          | 16.7842 | 8.6612 |
| 0.0015        | 6.0   | 1128 | 0.2050          | 16.5802 | 8.8352 |


### Framework versions

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