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---
language:
- hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-graminVoice
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper small Hi - CKS 2511 finalbatch
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 small Hi - CKS 2511 finalbatch
This model is a fine-tuned version of [CKSINGH/whisper-small-hi-graminVoice](https://huggingface.co/CKSINGH/whisper-small-hi-graminVoice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5777
- Wer: 33.1148
- Cer: 14.1232
## 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: 1.75e-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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.1067 | 6.94 | 500 | 0.4508 | 36.7213 | 17.2021 |
| 0.0083 | 13.89 | 1000 | 0.5445 | 35.4098 | 15.9973 |
| 0.001 | 20.83 | 1500 | 0.5720 | 34.7541 | 14.9264 |
| 0.0001 | 27.78 | 2000 | 0.5777 | 33.1148 | 14.1232 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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