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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model
  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. -->

# model

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: 5.0046
- Wer: 116.8945

## 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: 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: 500
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5232        | 4.95  | 1000 | 3.6227          | 127.2695 |
| 0.0538        | 9.9   | 2000 | 4.3761          | 125.3417 |
| 0.0166        | 14.85 | 3000 | 4.6306          | 114.6863 |
| 0.0008        | 19.8  | 4000 | 4.7625          | 116.3687 |
| 0.0022        | 24.75 | 5000 | 4.9290          | 116.0182 |
| 0.0002        | 29.7  | 6000 | 4.9100          | 118.2264 |
| 0.0001        | 34.65 | 7000 | 4.9886          | 116.5089 |
| 0.0001        | 39.6  | 8000 | 5.0046          | 116.8945 |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.12.0+cu116
- Datasets 2.6.1
- Tokenizers 0.13.1