|
--- |
|
license: apache-2.0 |
|
tags: |
|
- audio-classification |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: whisper-tiny-ft-marathi-numbers |
|
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-ft-marathi-numbers |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the [sanchit-gandhi/marathi-numbers-test](https://huggingface.co/datasets/sanchit-gandhi/marathi-numbers-test) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0270 |
|
- Accuracy: 1.0 |
|
|
|
You can reproduce this run by calling the script [run.sh](https://huggingface.co/sanchit-gandhi/whisper-tiny-ft-marathi-numbers/blob/main/run.sh). Note that we use the **same** split for training and evaluation for demonstration purposes. |
|
|
|
## 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 |
|
|
