wav2vec2_milDB

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6994
• Wer: 1.0

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: 0.0001
• train_batch_size: 32
• 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: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0257	10.9890	1000	1.6873	1.0
1.0671	21.9780	2000	1.6131	1.0
2.4045	32.9670	3000	2.6980	1.0
2.5542	43.9560	4000	2.7001	1.0
2.5504	54.9451	5000	2.6994	1.0

Framework versions

• Transformers 4.40.2
• Pytorch 2.5.1+cu118
• Datasets 3.1.0
• Tokenizers 0.19.1