transformers pytorch tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-base.en doi:10.57967/hf/1629 license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base.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-base.en-atco2-asr

This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0761
- Wer: 61.4769

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.9617        | 12.5  | 50   | 1.6264          | 47.3310 |
| 0.5856        | 25.0  | 100  | 1.2440          | 43.5498 |
| 0.2968        | 37.5  | 150  | 1.1000          | 55.7829 |
| 0.0977        | 50.0  | 200  | 1.0685          | 44.0391 |
| 0.0418        | 62.5  | 250  | 1.0645          | 51.2456 |
| 0.0178        | 75.0  | 300  | 1.0692          | 41.9929 |
| 0.0142        | 87.5  | 350  | 1.0742          | 61.3434 |
| 0.0124        | 100.0 | 400  | 1.0761          | 61.4769 |


### Framework versions

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