metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wav2vec2-base-ft-children-with-sli
results: []
wav2vec2-base-ft-children-with-sli
This model is a fine-tuned version of facebook/wav2vec2-base on the ChildrenSLIDataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1079
- Accuracy: 0.9722
- F1: 0.9712
- Precision: 0.9670
- Recall: 0.9771
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6402 | 1.0 | 32 | 0.6563 | 0.6071 | 0.3778 | 0.3036 | 0.5 |
| 0.446 | 2.0 | 64 | 0.6949 | 0.5357 | 0.5048 | 0.7292 | 0.6176 |
| 0.3454 | 3.0 | 96 | 0.2953 | 0.8690 | 0.8677 | 0.8708 | 0.8886 |
| 0.0703 | 4.0 | 128 | 0.1439 | 0.9563 | 0.9548 | 0.9507 | 0.9605 |
| 0.0458 | 5.0 | 160 | 0.0759 | 0.9841 | 0.9834 | 0.9834 | 0.9834 |
| 0.0844 | 6.0 | 192 | 1.0983 | 0.7421 | 0.7416 | 0.8018 | 0.7876 |
| 0.1241 | 7.0 | 224 | 0.1313 | 0.9683 | 0.9672 | 0.9626 | 0.9739 |
| 0.0454 | 8.0 | 256 | 0.0824 | 0.9802 | 0.9794 | 0.9760 | 0.9837 |
| 0.0403 | 9.0 | 288 | 0.0715 | 0.9802 | 0.9794 | 0.9760 | 0.9837 |
| 0.0241 | 10.0 | 320 | 0.1079 | 0.9722 | 0.9712 | 0.9670 | 0.9771 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1