---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: S2_M1_R3_Wav2Vec_42738245
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# S2_M1_R3_Wav2Vec_42738245

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: 0.0003
- 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0197        | 1.0   | 307  | 0.0089          | 0.9990   |
| 0.0027        | 2.0   | 614  | 0.0174          | 0.9971   |
| 0.0042        | 3.0   | 921  | 0.0004          | 1.0      |
| 0.0005        | 4.0   | 1229 | 0.0004          | 1.0      |
| 0.0005        | 5.0   | 1535 | 0.0003          | 1.0      |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0