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---
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 |