transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en dataset:vision dataset:Finetunedtiny base_model:openai/whisper-tiny.en license:apache-2.0 model-index endpoints_compatible region:us
---
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- vision
- Finetunedtiny
metrics:
- wer
model-index:
- name: ThangaTharun/Bharishkafinetuned
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: ThangaTharun/Barishka
      type: vision
    metrics:
    - name: Wer
      type: wer
      value: 0.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ThangaTharun/Bharishkafinetuned

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the ThangaTharun/Barishka dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6092
- Wer: 0.0

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 60
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 6.0126        | 1.67  | 5    | 5.7191          | 27.2727 |
| 4.5556        | 3.33  | 10   | 4.0076          | 18.1818 |
| 3.385         | 5.0   | 15   | 3.0201          | 22.7273 |
| 2.7403        | 6.67  | 20   | 2.2411          | 18.1818 |
| 1.9444        | 8.33  | 25   | 2.0404          | 4.5455  |
| 1.9864        | 10.0  | 30   | 1.9273          | 4.5455  |
| 2.3372        | 11.67 | 35   | 1.8292          | 0.0     |
| 1.5928        | 13.33 | 40   | 1.7561          | 0.0     |
| 1.8158        | 15.0  | 45   | 1.6984          | 0.0     |
| 1.7321        | 16.67 | 50   | 1.6561          | 0.0     |
| 1.7266        | 18.33 | 55   | 1.6268          | 0.0     |
| 1.6997        | 20.0  | 60   | 1.6092          | 0.0     |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
