This model is a fine-tuned version of openai/whisper-large-v3 on the asr-tamil-cleaned dataset. It achieves the following results on the evaluation set:

Loss: 0.1601
Wer Ortho: 99.7086
Wer: 192.4581

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.1482	0.0143	500	0.1601	99.7086	192.4581

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Logii33/whisper-large-v3-ta

Whisper-large-v3-en-Log-Tamil

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Logii33/
whisper-large-v3-ta