wav2vec2-large-xlsr-es-col-pro-noise

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-spanish on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0683
• Wer: 0.0601

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: 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: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.118	3.88	400	0.0591	0.0633
0.0838	7.77	800	0.0935	0.0936
0.0583	11.65	1200	0.0765	0.0716
0.0392	15.53	1600	0.0843	0.0738
0.0346	19.42	2000	0.0763	0.0603
0.0262	23.3	2400	0.0718	0.0610
0.0208	27.18	2800	0.0683	0.0601

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.1+cu102
• Datasets 1.13.3
• Tokenizers 0.10.3