---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Nonstudio_Studio_Whisper_Medium
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Nonstudio_Studio_Whisper_Medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0313
- Wer: 14.9042

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0611        | 0.38  | 1000 | 0.0875          | 42.0254 |
| 0.0348        | 0.77  | 2000 | 0.0556          | 29.6840 |
| 0.0195        | 1.15  | 3000 | 0.0459          | 23.8368 |
| 0.0133        | 1.53  | 4000 | 0.0373          | 19.1092 |
| 0.0138        | 1.92  | 5000 | 0.0318          | 16.5962 |
| 0.004         | 2.3   | 6000 | 0.0313          | 14.9042 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1