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---
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
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