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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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