metadata
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: []
training_zscaler_dataset
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: 0.5501
- 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