speech31/wav2vec2-large-english-phoneme-v2

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