metadata
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-tiny-ft-marathi-numbers
results: []
whisper-tiny-ft-marathi-numbers
This model is a fine-tuned version of openai/whisper-tiny on the sanchit-gandhi/marathi-numbers-test dataset. It achieves the following results on the evaluation set:
- Loss: 0.0270
- Accuracy: 1.0
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.0002 | 1.0 | 128 | 0.7066 | 0.9990 |
0.0895 | 2.0 | 256 | 0.0764 | 0.9990 |
0.0281 | 3.0 | 384 | 0.0270 | 1.0 |
0.0191 | 4.0 | 512 | 0.0186 | 1.0 |
0.017 | 5.0 | 640 | 0.0166 | 1.0 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.1.0.dev20230308+cu118
- Datasets 2.10.2.dev0
- Tokenizers 0.13.2