Shirali
/

whisper-small-ISSAI_KSC_335RS_v2

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Edit model card

whisper-small-ISSAI_KSC_335RS_v2

This model was trained from scratch on the None dataset.

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1001
mixed_precision_training: Native AMP

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Downloads last month: 23

Inference Examples

Automatic Speech Recognition

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using Shirali/whisper-small-ISSAI_KSC_335RS_v2 1

Evaluation results

Metadata error: specify a dataset to view leaderboard