wav2vec2-base-finetuned-ks

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: 0.6647
• Accuracy: 0.8163

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8889	6	0.9422	0.6327
No log	1.9259	13	0.8084	0.6327
No log	2.9630	20	0.7115	0.7959
No log	4.0	27	0.6647	0.8163
No log	4.4444	30	0.6585	0.8163

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.2+cpu
• Datasets 2.19.2
• Tokenizers 0.19.1