w2v2-base-pretrained_lr5e-5_at1_da1

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: 2.3753
• Wer: 0.1837

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: 5e-05
• train_batch_size: 32
• 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
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
18.9508	6.1	250	4.5541	1.0
3.4223	12.2	500	3.2365	1.0
3.1022	18.29	750	3.1107	1.0
2.0891	24.39	1000	1.2943	0.4930
0.2477	30.49	1250	1.4675	0.2208
0.1323	36.59	1500	1.8152	0.2067
0.0908	42.68	1750	1.8821	0.1931
0.0721	48.78	2000	2.1984	0.2008
0.0584	54.88	2250	2.0544	0.1927
0.0483	60.98	2500	2.0092	0.1845
0.0437	67.07	2750	2.1545	0.1837
0.0347	73.17	3000	2.3775	0.1918
0.0331	79.27	3250	2.4051	0.1880
0.0302	85.37	3500	2.3556	0.1790
0.0279	91.46	3750	2.3822	0.1858
0.026	97.56	4000	2.3753	0.1837

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.14.6
• Tokenizers 0.14.1