---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: init_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. -->

# init_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: 0.6622
- Accuracy: 0.6757

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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        | 0.73  | 2    | 0.6950          | 0.4865   |
| No log        | 1.82  | 5    | 0.6838          | 0.4865   |
| No log        | 2.91  | 8    | 0.6538          | 0.7027   |
| 0.6755        | 4.0   | 11   | 0.6984          | 0.4865   |
| 0.6755        | 4.73  | 13   | 0.7010          | 0.4054   |
| 0.6755        | 5.82  | 16   | 0.6609          | 0.7027   |
| 0.6755        | 6.91  | 19   | 0.6618          | 0.6757   |
| 0.6234        | 7.27  | 20   | 0.6622          | 0.6757   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3