wav2vec2-base-cynthia-tedlium-2500

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4356
• Wer: 0.1796

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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
6.2811	6.58	500	3.1455	0.9934
3.0533	13.16	1000	2.9568	0.9934
1.8269	19.73	1500	0.7595	0.2484
0.5103	26.31	2000	0.4356	0.1796

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.13.3
• Tokenizers 0.10.3