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: 0.5766
• Accuracy: 0.8308

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: 1.5e-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
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	7	0.7247	0.7462
No log	2.0	14	0.6844	0.7615
0.4279	3.0	21	0.7254	0.7462
0.4279	4.0	28	0.5891	0.8
0.4279	5.0	35	0.6991	0.7462
0.4478	6.0	42	0.6579	0.7615
0.4478	7.0	49	0.6164	0.8
0.4478	8.0	56	0.6191	0.8077
0.4194	9.0	63	0.5766	0.8308
0.4194	10.0	70	0.5704	0.8154
0.4194	11.0	77	0.6518	0.8
0.3833	12.0	84	0.6190	0.8077
0.3833	13.0	91	0.5693	0.8231
0.3833	14.0	98	0.5628	0.8231
0.3607	15.0	105	0.5741	0.8154

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.10.3