wav2vec2-base-timit-demo-colab1 – AI Model by hassnain | AlphaNeural AI

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wav2vec2-base-timit-demo-colab1

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wav2vec2-base-timit-demo-colab1

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: 3.1904
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: 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
5.0877	1.42	500	3.2909	1.0
3.1333	2.85	1000	3.2624	1.0
3.1335	4.27	1500	3.2121	1.0
3.1294	5.7	2000	3.2047	1.0
3.1307	7.12	2500	3.2020	1.0
3.1279	8.55	3000	3.1978	1.0
3.1296	9.97	3500	3.2015	1.0
3.1273	11.4	4000	3.1983	1.0
3.1273	12.82	4500	3.2258	1.0
3.1274	14.25	5000	3.2151	1.0
3.1256	15.67	5500	3.2105	1.0
3.1302	17.09	6000	3.2018	1.0
3.1285	18.52	6500	3.2006	1.0
3.1251	19.94	7000	3.1858	1.0
3.1283	21.37	7500	3.1829	1.0
3.1267	22.79	8000	3.1773	1.0
3.1283	24.22	8500	3.1857	1.0
3.1253	25.64	9000	3.1847	1.0
3.1251	27.07	9500	3.1832	1.0
3.1245	28.49	10000	3.1869	1.0
3.1225	29.91	10500	3.1904	1.0

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3