metadata

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

Whisper-Small-Tamil

This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0128
Wer: 17.0413

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: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1713	4.39	250	0.0533	28.5519
0.0291	8.77	500	0.0128	17.0413

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1