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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: audio_cls_wav2vec2-base_minds14_finetune
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. -->
# audio_cls_wav2vec2-base_minds14_finetune
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6523
- Accuracy: 0.0619
## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 2 | 2.6391 | 0.0708 |
| No log | 2.0 | 4 | 2.6421 | 0.0442 |
| No log | 3.0 | 6 | 2.6465 | 0.0354 |
| No log | 4.0 | 8 | 2.6486 | 0.0442 |
| 2.6349 | 5.0 | 10 | 2.6502 | 0.0442 |
| 2.6349 | 6.0 | 12 | 2.6507 | 0.0531 |
| 2.6349 | 7.0 | 14 | 2.6514 | 0.0619 |
| 2.6349 | 8.0 | 16 | 2.6528 | 0.0619 |
| 2.6349 | 9.0 | 18 | 2.6528 | 0.0619 |
| 2.6278 | 10.0 | 20 | 2.6523 | 0.0619 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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