---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ser_model
  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

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: 0.4615
- Accuracy: 0.8471

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0541        | 1.0   | 162  | 0.9782          | 0.6650   |
| 0.7858        | 2.0   | 324  | 0.6777          | 0.7624   |
| 0.5927        | 3.0   | 486  | 0.5659          | 0.8028   |
| 0.4803        | 4.0   | 648  | 0.5004          | 0.8186   |
| 0.3951        | 5.0   | 810  | 0.4971          | 0.8175   |
| 0.3656        | 6.0   | 972  | 0.4670          | 0.8310   |
| 0.286         | 7.0   | 1134 | 0.4965          | 0.8306   |
| 0.2879        | 8.0   | 1296 | 0.4620          | 0.8421   |
| 0.2417        | 9.0   | 1458 | 0.4554          | 0.8460   |
| 0.2182        | 10.0  | 1620 | 0.4615          | 0.8471   |


### Framework versions

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