wav2vec2-base_toy_train_data_augment_0.1

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: 3.3786
• Wer: 0.9954

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.1342	1.05	250	3.3901	0.9954
3.0878	2.1	500	3.4886	0.9954
3.0755	3.15	750	3.4616	0.9954
3.0891	4.2	1000	3.5316	0.9954
3.0724	5.25	1250	3.2608	0.9954
3.0443	6.3	1500	3.3881	0.9954
3.0421	7.35	1750	3.4507	0.9954
3.0448	8.4	2000	3.4525	0.9954
3.0455	9.45	2250	3.3342	0.9954
3.0425	10.5	2500	3.3385	0.9954
3.0457	11.55	2750	3.4411	0.9954
3.0375	12.6	3000	3.4459	0.9954
3.0459	13.65	3250	3.3883	0.9954
3.0455	14.7	3500	3.3417	0.9954
3.0524	15.75	3750	3.3908	0.9954
3.0443	16.81	4000	3.3932	0.9954
3.0446	17.86	4250	3.4052	0.9954
3.0412	18.91	4500	3.3776	0.9954
3.0358	19.96	4750	3.3786	0.9954

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0+cu102
• Datasets 2.0.0
• Tokenizers 0.11.6