metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_spec_concat_Wav2Vec
results: []
IDAT_spec_concat_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: 0.6301
- Accuracy: 0.7027
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.6973 | 0.93 | 10 | 0.6810 | 0.4865 |
| 0.6482 | 1.95 | 21 | 0.6340 | 0.7027 |
| 0.6312 | 2.98 | 32 | 0.5760 | 0.6757 |
| 0.5598 | 4.0 | 43 | 0.5833 | 0.7027 |
| 0.648 | 4.93 | 53 | 0.7028 | 0.4595 |
| 0.5366 | 5.95 | 64 | 0.5593 | 0.6757 |
| 0.5307 | 6.98 | 75 | 0.5257 | 0.6757 |
| 0.5351 | 8.0 | 86 | 0.5375 | 0.6757 |
| 0.4816 | 8.93 | 96 | 0.6420 | 0.7027 |
| 0.4438 | 9.3 | 100 | 0.6301 | 0.7027 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3