wav2vec2-large-english-phoneme-v2 – AI Model by speech31 | AlphaNeural AI

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speech31/
wav2vec2-large-english-phoneme-v2

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wav2vec2-base960-english-phoneme_v2

This model is a fine-tuned version of facebook/wav2vec2-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4069
Cer: 0.0900

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: 0.0003
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
2.18	6.94	500	0.3118	0.0923
0.2622	13.88	1000	0.4387	0.1218
0.2145	20.83	1500	0.4441	0.1121
0.1429	27.77	2000	0.4001	0.1045
0.0927	34.72	2500	0.4692	0.1062
0.0598	41.66	3000	0.3960	0.0971
0.0356	48.61	3500	0.4069	0.0900

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.12.1.post201
Datasets 2.5.2.dev0
Tokenizers 0.12.1