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

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: 0.0493
- Wer: 79.0563

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.129         | 8.33  | 500  | 0.0419          | 2.3014  |
| 0.0004        | 16.67 | 1000 | 0.0428          | 17.1282 |
| 0.0002        | 25.0  | 1500 | 0.0426          | 10.4510 |
| 0.0012        | 33.33 | 2000 | 0.0427          | 39.6277 |
| 0.0003        | 41.67 | 2500 | 0.0423          | 58.2515 |
| 0.0           | 50.0  | 3000 | 0.0456          | 54.7324 |
| 0.0           | 58.33 | 3500 | 0.0468          | 61.8402 |
| 0.0           | 66.67 | 4000 | 0.0477          | 68.6794 |
| 0.0           | 75.0  | 4500 | 0.0483          | 72.7172 |
| 0.0           | 83.33 | 5000 | 0.0488          | 76.2502 |
| 0.0           | 91.67 | 5500 | 0.0491          | 78.2228 |
| 0.0           | 100.0 | 6000 | 0.0493          | 79.0563 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0