wav2vec2-base-checkpoint-3

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-2 on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 1.7007
• Wer: 0.5514

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: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.358	14.8	400	1.4841	0.5338
0.1296	29.62	800	1.7007	0.5514

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3