---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ser_model_fixed_label
  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. -->

# ser_model_fixed_label

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: 0.7010
- Accuracy: 0.8367

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7645        | 0.96  | 18   | 1.5899          | 0.4333   |
| 1.5148        | 1.96  | 36   | 1.4152          | 0.4433   |
| 1.3042        | 2.96  | 54   | 1.1857          | 0.5767   |
| 1.1184        | 3.96  | 72   | 1.0508          | 0.62     |
| 0.9588        | 4.96  | 90   | 0.9329          | 0.7      |
| 0.9789        | 5.96  | 108  | 0.8638          | 0.74     |
| 0.7835        | 6.96  | 126  | 0.7730          | 0.8133   |
| 0.7259        | 7.96  | 144  | 0.7355          | 0.83     |
| 0.6783        | 8.96  | 162  | 0.7190          | 0.8333   |
| 0.6644        | 9.96  | 180  | 0.7010          | 0.8367   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2