anuragshas/whisper-large-v2-mr

Whisper Large-v2 Marathi

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 mr dataset. It achieves the following results on the evaluation set:

• Loss: 0.3108
• Wer: 15.2206

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-06
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1931	3.04	200	0.2491	16.9270
0.1108	7.03	400	0.2379	15.2711
0.0548	11.02	600	0.2668	15.3120
0.0189	15.01	800	0.3108	15.2206
0.0078	18.05	1000	0.3499	15.5571

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2