metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_grn_aug_898_copy_Wav2Vec
results: []
IDAT_grn_aug_898_copy_Wav2Vec
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: 0.5824
- Accuracy: 0.7625
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6513 | 1.0 | 100 | 0.5871 | 0.67 |
| 0.6895 | 2.0 | 200 | 0.6970 | 0.5 |
| 0.6715 | 3.0 | 300 | 0.7229 | 0.5 |
| 0.531 | 4.0 | 400 | 0.7113 | 0.5 |
| 0.6903 | 5.0 | 500 | 0.6826 | 0.585 |
| 0.4481 | 6.0 | 600 | 0.6685 | 0.635 |
| 0.5603 | 7.0 | 700 | 0.8770 | 0.485 |
| 0.4866 | 8.0 | 800 | 0.3783 | 0.9025 |
| 0.5095 | 9.0 | 900 | 0.5246 | 0.8175 |
| 0.1992 | 10.0 | 1000 | 0.5824 | 0.7625 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3