transformers pytorch tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-medium.en doi:10.57967/hf/1633 license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium.en-atco2-asr
  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.en-atco2-asr

This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9216
- Wer: 29.5819

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.9851        | 12.5  | 50   | 1.0968          | 24.1103 |
| 0.1295        | 25.0  | 100  | 0.9019          | 82.4288 |
| 0.0379        | 37.5  | 150  | 0.8000          | 26.4680 |
| 0.008         | 50.0  | 200  | 0.8494          | 27.2687 |
| 0.0052        | 62.5  | 250  | 0.8890          | 34.2527 |
| 0.0032        | 75.0  | 300  | 0.9108          | 28.4253 |
| 0.0027        | 87.5  | 350  | 0.9191          | 29.2260 |
| 0.0023        | 100.0 | 400  | 0.9216          | 29.5819 |


### Framework versions

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