neunit-ks

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7024
• Accuracy: 0.2857

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	25.0	25	0.7054	0.3214
No log	50.0	50	0.7030	0.3214
No log	75.0	75	0.7025	0.2857
No log	100.0	100	0.7024	0.2857

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3