---
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-tamil-telugu
  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: 0.06818181818181818
---

<!-- 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-tamil-telugu

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: nan
- Accuracy: 0.0682

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7103        | 1.0   | 175  | 1.7471          | 0.3182   |
| 1.7409        | 2.0   | 350  | 1.7368          | 0.1818   |
| 1.8159        | 3.0   | 525  | 1.7274          | 0.2955   |
| 1.7017        | 4.0   | 700  | 1.7233          | 0.2955   |
| 1.7597        | 5.0   | 875  | 1.7177          | 0.2955   |
| 1.7603        | 6.0   | 1050 | 1.7123          | 0.2955   |
| 1.6626        | 7.0   | 1225 | 1.7082          | 0.2955   |
| 1.5964        | 8.0   | 1400 | nan             | 0.25     |
| 0.0           | 9.0   | 1575 | nan             | 0.0682   |
| 0.0           | 10.0  | 1750 | nan             | 0.0682   |


### Framework versions

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