This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 tt dataset. It achieves the following results on the evaluation set:

Loss: 0.4091
Wer: 33.1045

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: 32
eval_batch_size: 16
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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0212	5.04	1000	0.4091	33.1045

Framework versions

Transformers 4.26.0.dev0
Pytorch 2.0.0.dev20221210+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

sanchit-gandhi/whisper-small-tt-1k-steps

Whisper Small Tatar

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sanchit-gandhi/
whisper-small-tt-1k-steps