bhattasp/whisper-finetuned-all-3

This model is a fine-tuned version of openai/whisper-tiny on the atcosimm,AtCO2_UWB, Bial dataset. It achieves the following results on the evaluation set:

• Loss: 0.2626
• Wer: 13.3868

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2357	1.0	991	0.3171	17.5090
0.139	2.0	1982	0.2580	13.1683
0.0553	3.0	2973	0.2496	13.4280
0.0201	4.0	3964	0.2564	12.1646
0.018	5.0	4955	0.2626	13.3868

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0