|
--- |
|
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 |
|
|
