---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-toi
  results: []
---

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

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: 2.8215
- Wer: 59.6163

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4727        | 1.47  | 500  | 2.0656          | 70.8002 |
| 0.2033        | 2.95  | 1000 | 2.0971          | 67.6416 |
| 0.0658        | 4.42  | 1500 | 2.3894          | 62.0262 |
| 0.0281        | 5.9   | 2000 | 2.5443          | 62.2134 |
| 0.0104        | 7.37  | 2500 | 2.6873          | 61.8390 |
| 0.0046        | 8.85  | 3000 | 2.7252          | 60.6458 |
| 0.0004        | 10.32 | 3500 | 2.7891          | 60.8563 |
| 0.0003        | 11.8  | 4000 | 2.8215          | 59.6163 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2