Edit model card

Whisper-fineTuning-malayalam

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4138
  • Wer: 68.7356

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: 12
  • 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0099 1.88 1000 0.3563 69.6552
0.0046 3.77 2000 0.3860 70.1149
0.001 5.65 3000 0.4105 70.3448
0.0001 7.53 4000 0.4138 68.7356

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2
Downloads last month
4
Inference Examples
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.

Dataset used to train 5p33ch3xpr/Whisper-fineTuning-malayalam

Evaluation results