---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ser_model_adjusted_2023-03-03
  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_adjusted_2023-03-03

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: 0.8997
- Accuracy: 0.7573

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7826        | 1.0   | 15   | 1.7119          | 0.3180   |
| 1.6174        | 2.0   | 30   | 1.5893          | 0.3808   |
| 1.5272        | 3.0   | 45   | 1.4628          | 0.4059   |
| 1.3355        | 4.0   | 60   | 1.3073          | 0.5230   |
| 1.2021        | 5.0   | 75   | 1.1725          | 0.5941   |
| 1.0797        | 6.0   | 90   | 1.0559          | 0.6904   |
| 0.9803        | 7.0   | 105  | 1.0222          | 0.7071   |
| 0.882         | 8.0   | 120  | 0.9297          | 0.7448   |
| 0.8505        | 9.0   | 135  | 0.8997          | 0.7573   |
| 0.7807        | 10.0  | 150  | 0.8801          | 0.7573   |


### Framework versions

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