wav2vec2-fine-tuning-960h-demo-google-colab

This model is a fine-tuned version of St4n/wav2vec2-base-960h-demo-google-colab on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6643
• Wer: 0.9985

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: 16
• 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: 1000
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8048	5.81	500	0.5176	1.0
0.353	11.63	1000	0.5259	1.0
0.2843	17.44	1500	0.5725	0.9985
0.3374	23.26	2000	0.6190	0.9985
0.1625	29.07	2500	0.6643	0.9985

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1