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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 100.8983

## 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: 5e-05
- train_batch_size: 16
- 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: 10
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0           | 0.01  | 5    | nan             | 100.8983 |
| 0.0           | 0.02  | 10   | nan             | 100.8983 |
| 0.0           | 0.03  | 15   | nan             | 100.8983 |
| 0.0           | 0.04  | 20   | nan             | 100.8983 |
| 0.0           | 0.05  | 25   | nan             | 100.8983 |
| 0.0           | 0.06  | 30   | nan             | 100.8983 |
| 0.0           | 0.07  | 35   | nan             | 100.8983 |
| 0.0           | 0.08  | 40   | nan             | 100.8983 |
| 0.0           | 0.09  | 45   | nan             | 100.8983 |
| 0.0           | 0.1   | 50   | nan             | 100.8983 |
| 0.0           | 0.12  | 55   | nan             | 100.8983 |
| 0.0           | 0.13  | 60   | nan             | 100.8983 |
| 0.0           | 0.14  | 65   | nan             | 100.8983 |
| 0.0           | 0.15  | 70   | nan             | 100.8983 |
| 0.0           | 0.16  | 75   | nan             | 100.8983 |
| 0.0           | 0.17  | 80   | nan             | 100.8983 |
| 0.0           | 0.18  | 85   | nan             | 100.8983 |
| 0.0           | 0.19  | 90   | nan             | 100.8983 |
| 0.0           | 0.2   | 95   | nan             | 100.8983 |
| 0.0           | 0.21  | 100  | nan             | 100.8983 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.13.3