metadata

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

Whisper-Anuj-small-Tamil

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: 0.1454
Wer: 44.0964
Cer: 9.0478

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: 16
eval_batch_size: 4
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: 1800

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1086	3.0	600	0.1286	60.0	19.7609
0.0132	6.0	1200	0.1274	45.6225	9.3391
0.001	9.0	1800	0.1454	44.0964	9.0478

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1