metadata
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
whisper-tiny-tamil-telugu
This model is a fine-tuned version of 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