metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_dialect
results: []
model_dialect
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9645
- Accuracy: 0.6605
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.4375 | 0.9455 | 13 | 1.5888 | 0.2864 |
| 6.3195 | 1.9636 | 27 | 1.4956 | 0.3303 |
| 5.5946 | 2.9818 | 41 | 1.3432 | 0.4296 |
| 5.1778 | 4.0 | 55 | 1.2428 | 0.4896 |
| 4.8878 | 4.9455 | 68 | 1.1755 | 0.5219 |
| 4.4526 | 5.9636 | 82 | 1.1291 | 0.5612 |
| 4.2637 | 6.9818 | 96 | 1.1010 | 0.5843 |
| 3.92 | 8.0 | 110 | 1.0861 | 0.5889 |
| 3.7452 | 8.9455 | 123 | 1.0428 | 0.6051 |
| 3.6307 | 9.9636 | 137 | 1.0306 | 0.6351 |
| 3.4254 | 10.9818 | 151 | 0.9944 | 0.6467 |
| 3.1453 | 12.0 | 165 | 0.9931 | 0.6328 |
| 3.2321 | 12.9455 | 178 | 0.9595 | 0.6582 |
| 3.0323 | 13.9636 | 192 | 0.9593 | 0.6490 |
| 2.9844 | 14.9818 | 206 | 0.9645 | 0.6605 |
| 2.9844 | 15.1273 | 208 | 0.9652 | 0.6605 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0