---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: whisper-tiny-zero-shot
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: Speech Commands
      type: audiofolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.0
---

<!-- 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-tiny-zero-shot

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3696
- Accuracy: 0.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8182        | 1.0   | 6    | 1.7915          | 0.3333   |
| 1.7461        | 2.0   | 12   | 1.8821          | 0.0      |
| 1.6025        | 3.0   | 18   | 1.8774          | 0.0      |
| 1.4742        | 4.0   | 24   | 1.9225          | 0.0      |
| 1.1823        | 5.0   | 30   | 2.0195          | 0.0      |
| 0.9187        | 6.0   | 36   | 2.1978          | 0.0      |
| 0.9999        | 7.0   | 42   | 2.2030          | 0.0      |
| 0.6854        | 8.0   | 48   | 2.2368          | 0.0      |
| 0.8815        | 9.0   | 54   | 2.3313          | 0.0      |
| 0.5719        | 10.0  | 60   | 2.3696          | 0.0      |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0