| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: training_zscaler_dataset |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # training_zscaler_dataset |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5501 |
| | - Accuracy: 0.7355 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - optimizer: Use 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: 0.1 |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.6553 | 1.0 | 10 | 0.7152 | 0.4416 | |
| | | 0.6279 | 2.0 | 20 | 0.5893 | 0.7532 | |
| | | 0.5993 | 3.0 | 30 | 0.5791 | 0.7532 | |
| | | 0.5761 | 4.0 | 40 | 0.5538 | 0.7727 | |
| | | 0.5483 | 5.0 | 50 | 0.5169 | 0.8052 | |
| | | 0.5291 | 6.0 | 60 | 0.5496 | 0.7662 | |
| | | 0.5016 | 7.0 | 70 | 0.6360 | 0.6883 | |
| | | 0.4962 | 8.0 | 80 | 0.4710 | 0.8312 | |
| | | 0.4807 | 9.0 | 90 | 0.5224 | 0.7987 | |
| | | 0.4798 | 10.0 | 100 | 0.4764 | 0.8182 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.53.3 |
| | - Pytorch 2.7.1+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.2 |
| |
|
