wav2vec2_common_voice17_finetuning

This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4054
• Wer: 1.0

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: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6577	3.5461	1000	0.4788	0.9997
0.2893	7.0922	2000	0.4086	1.0
0.1997	10.6383	3000	0.4135	0.9997
0.156	14.1844	4000	0.4051	0.9992
0.138	17.7305	5000	0.4054	1.0

Framework versions

• Transformers 4.49.0
• Pytorch 2.4.1+cu124
• Datasets 2.21.0
• Tokenizers 0.21.0