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# 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

{"license": "apache-2.0", "tags": ["audio-classification", "generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "whisper-tiny-ft-marathi-numbers", "results": []}]}
transformers pytorch whisper audio-classification generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #whisper #audio-classification #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

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


You can reproduce this run by calling the script URL. 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



### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 2.1.0.dev20230308+cu118
* Datasets 2.10.2.dev0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 2.1.0.dev20230308+cu118
* Datasets 2.10.2.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #whisper #audio-classification #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 2.1.0.dev20230308+cu118
* Datasets 2.10.2.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #whisper #audio-classification #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 2.1.0.dev20230308+cu118
* Datasets 2.10.2.dev0
* Tokenizers 0.13.2