whisper-medium-atco2-asr

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

• Loss: 0.7769
• Wer: 23.9769

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5002	12.5	50	0.6266	23.6655
0.0013	25.0	100	0.6931	21.6637
0.0004	37.5	150	0.7297	21.7082
0.0003	50.0	200	0.7492	21.8416
0.0002	62.5	250	0.7622	21.8861
0.0002	75.0	300	0.7703	21.9306
0.0002	87.5	350	0.7753	23.0872
0.0002	100.0	400	0.7769	23.9769

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.0