---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-tiny-70-files
  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-tiny-70-files

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: 0.4202
- Accuracy: 0.8571

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1433        | 1.0   | 28   | 1.0751          | 0.2857   |
| 1.0581        | 2.0   | 56   | 0.9757          | 0.5714   |
| 0.7216        | 3.0   | 84   | 0.7070          | 0.5714   |
| 0.6422        | 4.0   | 112  | 0.6288          | 0.8571   |
| 0.395         | 5.0   | 140  | 0.5260          | 0.8571   |
| 0.1961        | 6.0   | 168  | 0.3009          | 1.0      |
| 0.2295        | 7.0   | 196  | 0.4961          | 0.8571   |
| 0.1916        | 8.0   | 224  | 0.4109          | 0.8571   |
| 0.1889        | 9.0   | 252  | 0.4259          | 0.8571   |
| 0.1485        | 10.0  | 280  | 0.4202          | 0.8571   |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.2.2
- Datasets 3.2.0
- Tokenizers 0.21.0