---
library_name: transformers
language:
- en
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- wwwtwwwt/fineaudio-Entertainment
metrics:
- accuracy
model-index:
- name: Wav2Vec2 - Entertainment - Gaming Livestreams
  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. -->

# Wav2Vec2 - Entertainment - Gaming Livestreams

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the fineaudio-Entertainment-Gaming Livestreams dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0
- Accuracy: 0.0

## 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: 0.0001
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.2945        | 0.0937 | 500  | 2.8814          | 0.0      |
| 1.2961        | 0.1875 | 1000 | 2.8496          | 0.0      |
| 1.2744        | 0.2812 | 1500 | 3.1602          | 0.0      |
| 1.2647        | 0.3750 | 2000 | 3.2832          | 0.0      |
| 1.269         | 0.4687 | 2500 | 3.1699          | 0.0      |
| 1.2696        | 0.5624 | 3000 | 3.1230          | 0.0      |
| 1.2664        | 0.6562 | 3500 | 3.0762          | 0.0      |
| 1.286         | 0.7499 | 4000 | 3.0             | 0.0      |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.0