metadata

license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper-Anuj-small-Malyalam-final
    results: []

Whisper-Anuj-small-Malyalam-final

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1640
Wer: 45.0607
Cer: 9.4661

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: 6
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1800

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0563	4.3243	600	0.1279	55.3846	12.5049
0.006	8.6486	1200	0.1527	48.6640	10.2313
0.0004	12.9730	1800	0.1640	45.0607	9.4661

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1