---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SER_model_xapiens
  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_xapiens

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: 1.9265
- Accuracy: 0.3565

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4373        | 1.0   | 12   | 1.8861          | 0.3578   |
| 1.501         | 2.0   | 24   | 1.8790          | 0.3735   |
| 1.5003        | 3.0   | 36   | 1.8961          | 0.3696   |
| 1.423         | 4.0   | 48   | 1.8633          | 0.3591   |
| 1.4632        | 5.0   | 60   | 1.8994          | 0.3526   |
| 1.4364        | 6.0   | 72   | 1.9166          | 0.3539   |
| 1.4105        | 7.0   | 84   | 1.9423          | 0.3499   |
| 1.3816        | 8.0   | 96   | 1.9297          | 0.3434   |
| 1.4097        | 9.0   | 108  | 1.9315          | 0.3578   |
| 1.3785        | 10.0  | 120  | 1.9265          | 0.3565   |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0
- Datasets 2.19.2.dev0
- Tokenizers 0.19.1