wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_3

This model is a fine-tuned version of /root/workspace/wav2vec2-pretrained_with_ESC50_10000epochs_32batch_2022-07-09_22-16-46/pytorch_model.bin on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5350
• Cer: 1.2730

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: 64
• eval_batch_size: 16
• seed: 42
• 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	Cer
4.4243	4.67	500	2.6901	1.1259
2.4282	9.35	1000	2.7495	1.1563
2.3377	14.02	1500	2.2475	0.9617
2.2434	18.69	2000	2.2765	1.1908
2.2731	23.36	2500	2.2574	1.1669
2.3436	28.04	3000	2.5350	1.2730

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.1+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3