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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 |