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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IDAT_red_aug_998_Wav2Vec
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# IDAT_red_aug_998_Wav2Vec
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2033
- Accuracy: 0.956
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6465 | 1.0 | 109 | 0.6712 | 0.62 |
| 0.4621 | 2.0 | 219 | 0.5122 | 0.82 |
| 0.4964 | 3.0 | 328 | 0.4697 | 0.788 |
| 0.4637 | 4.0 | 438 | 0.4764 | 0.804 |
| 0.3919 | 5.0 | 547 | 0.3494 | 0.852 |
| 0.2591 | 6.0 | 657 | 0.2926 | 0.904 |
| 0.4556 | 7.0 | 766 | 0.1674 | 0.952 |
| 0.2571 | 8.0 | 876 | 0.1193 | 0.972 |
| 0.067 | 9.0 | 985 | 0.0794 | 0.98 |
| 0.0186 | 9.95 | 1090 | 0.2033 | 0.956 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3
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