metadata

language:
  - hi
license: apache-2.0
base_model: CKSINGH/whisper-small-hi-iiib
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: CKSINGH whisper-small-hi-fiefox
    results: []

CKSINGH whisper-small-hi-fiefox

This model is a fine-tuned version of CKSINGH/whisper-small-hi-iiib on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2473
Wer: 11.4253
Cer: 7.5700

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: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0382	3.57	1000	0.2021	12.8043	8.1173
0.0027	7.14	2000	0.2321	11.6614	7.6820
0.0001	10.71	3000	0.2473	11.4253	7.5700

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0