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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_848_novel_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_848_novel_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: 0.0104
- Accuracy: 1.0
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7314 | 1.0 | 200 | 0.6826 | 0.5 |
| 0.4559 | 2.0 | 400 | 0.6336 | 0.6937 |
| 0.3971 | 3.0 | 600 | 0.1900 | 0.9425 |
| 0.122 | 4.0 | 800 | 0.0354 | 0.9988 |
| 0.0842 | 5.0 | 1000 | 0.0513 | 1.0 |
| 0.0092 | 6.0 | 1200 | 0.0067 | 1.0 |
| 0.0879 | 7.0 | 1400 | 0.0080 | 1.0 |
| 0.0353 | 8.0 | 1600 | 0.0179 | 0.9975 |
| 0.109 | 9.0 | 1800 | 0.0400 | 0.9925 |
| 0.1078 | 10.0 | 2000 | 0.0104 | 1.0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3
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