Spaces:
Sleeping
title: Submission Template
emoji: 🔥
colorFrom: yellow
colorTo: green
sdk: docker
pinned: false
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3650 Accuracy: 0.9365 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: 1e-05 train_batch_size: 2 eval_batch_size: 2 seed: 42 gradient_accumulation_steps: 4 total_train_batch_size: 8 optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments lr_scheduler_type: linear lr_scheduler_warmup_ratio: 0.05 num_epochs: 7 Training results Training Loss Epoch Step Validation Loss Accuracy 1.5669 0.9998 3527 0.2941 0.9211 1.3782 1.9998 7054 0.4237 0.9216 1.3008 2.9998 10581 0.4684 0.9113 1.2606 3.9998 14108 0.4323 0.9204 1.0533 4.9998 17635 0.3708 0.9331 0.8921 5.9998 21162 0.3650 0.9365 Framework versions Transformers 4.47.1 Pytorch 2.5.1+cu121 Datasets 3.2.0 Tokenizers 0.21.0