wav2vec2-9 – AI Model by chrisvinsen | AlphaNeural AI

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chrisvinsen/
wav2vec2-9

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wav2vec2-9

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: 3.0821
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: 0.005
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: 400
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.2803	1.56	200	3.1231	1.0
2.8809	3.12	400	3.0366	1.0
2.8761	4.69	600	3.1217	1.0
2.8641	6.25	800	3.0584	1.0
2.866	7.81	1000	3.0318	1.0
2.865	9.38	1200	3.0789	1.0
2.8642	10.94	1400	3.0560	1.0
2.8617	12.5	1600	2.9985	1.0
2.8573	14.06	1800	3.1928	1.0
2.8609	15.62	2000	3.0782	1.0
2.8605	17.19	2200	3.1244	1.0
2.8638	18.75	2400	3.0417	1.0
2.8578	20.31	2600	3.1586	1.0
2.8579	21.88	2800	3.0409	1.0
2.8569	23.44	3000	3.0537	1.0
2.8574	25.0	3200	3.0105	1.0
2.8536	26.56	3400	3.0901	1.0
2.8571	28.12	3600	3.0904	1.0
2.8532	29.69	3800	3.0821	1.0

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1