wav2vec2

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: 1.4145
• Wer: 0.4598

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.245	9.26	500	2.9303	0.9871
2.5133	18.52	1000	1.3210	0.6705
0.6779	27.78	1500	1.2663	0.4949
0.3209	37.04	2000	1.3584	0.4872
0.19	46.3	2500	1.4145	0.4598

Framework versions

• Transformers 4.39.2
• Pytorch 1.12.1+cu116
• Datasets 2.18.0
• Tokenizers 0.15.2