README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-base-timit-demo-google-colab
    results: []

wav2vec2-base-timit-demo-google-colab

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: 0.5195
• Wer: 0.3386

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
3.5345	1.0	500	2.1466	1.0010
0.949	2.01	1000	0.5687	0.5492
0.445	3.01	1500	0.4562	0.4717
0.2998	4.02	2000	0.4154	0.4401
0.2242	5.02	2500	0.3887	0.4034
0.1834	6.02	3000	0.4262	0.3905
0.1573	7.03	3500	0.4200	0.3927
0.1431	8.03	4000	0.4194	0.3869
0.1205	9.04	4500	0.4600	0.3912
0.1082	10.04	5000	0.4613	0.3776
0.0984	11.04	5500	0.4926	0.3860
0.0872	12.05	6000	0.4869	0.3780
0.0826	13.05	6500	0.5033	0.3690
0.0717	14.06	7000	0.4827	0.3791
0.0658	15.06	7500	0.4816	0.3650
0.0579	16.06	8000	0.5433	0.3689
0.056	17.07	8500	0.5513	0.3672
0.0579	18.07	9000	0.4813	0.3632
0.0461	19.08	9500	0.4846	0.3501
0.0431	20.08	10000	0.5449	0.3637
0.043	21.08	10500	0.4906	0.3538
0.0334	22.09	11000	0.5081	0.3477
0.0322	23.09	11500	0.5184	0.3439
0.0316	24.1	12000	0.5412	0.3450
0.0262	25.1	12500	0.5113	0.3425
0.0267	26.1	13000	0.4888	0.3414
0.0258	27.11	13500	0.5071	0.3371
0.0226	28.11	14000	0.5311	0.3380
0.0233	29.12	14500	0.5195	0.3386

Framework versions

• Transformers 4.17.0
• Pytorch 1.12.0+cu113
• Datasets 1.18.3
• Tokenizers 0.12.1