simran14/mr-val-g2

simrank14 Whisper small valG2

This model is a fine-tuned version of simran14/mr-val-f2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1825
• Wer: 1.2699

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: 5e-07
• 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: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1957	0.5076	100	0.1617	1.0313
0.1441	1.0152	200	0.1738	1.2923
0.1139	1.5228	300	0.1825	1.2699

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.3.1+cu121
• Datasets 2.21.1.dev0
• Tokenizers 0.19.1