whisper-large-v3-finetuned-6

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

• Loss: 0.1070
• Wer: 115.1997

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: 2e-07
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3572	1.0	7532	0.2604	105.7528
0.0008	2.0	15064	0.1888	99.7556
0.0001	3.0	22596	0.1495	106.2064
0.0	4.0	30128	0.1288	97.6591
0.0025	5.0	37660	0.1170	124.9313
0.0001	6.0	45192	0.1071	122.8575
0.0001	7.0	52724	0.1053	117.5784
0.0009	8.0	60256	0.1045	117.7447
0.0	9.0	67788	0.1058	118.8636
0.0003	10.0	75320	0.1070	115.1997

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2