whisper-tiny-ft-marathi-numbers

This model is a fine-tuned version of openai/whisper-tiny on the sanchit-gandhi/marathi-numbers-test dataset. It achieves the following results on the evaluation set:

• Loss: 0.0270
• Accuracy: 1.0

You can reproduce this run by calling the script run.sh. Note that we use the same split for training and evaluation for demonstration purposes.

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 0
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0002	1.0	128	0.7066	0.9990
0.0895	2.0	256	0.0764	0.9990
0.0281	3.0	384	0.0270	1.0
0.0191	4.0	512	0.0186	1.0
0.017	5.0	640	0.0166	1.0

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 2.1.0.dev20230308+cu118
• Datasets 2.10.2.dev0
• Tokenizers 0.13.2