Fine_Tunning_on_CV_dataset

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7892
• Wer: 0.4734

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: 8
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.8618	3.25	1000	3.0765	0.9989
1.6825	6.49	2000	0.8932	0.6292
0.7813	9.74	3000	0.7750	0.5454
0.5859	12.99	4000	0.7413	0.5151
0.472	16.23	5000	0.7559	0.4952
0.404	19.48	6000	0.7677	0.4915
0.3637	22.73	7000	0.7788	0.4863
0.3238	25.97	8000	0.7920	0.4738
0.3038	29.22	9000	0.7892	0.4734

Framework versions

• Transformers 4.21.0
• Pytorch 1.11.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1