---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-finetuned-on-shEMO_speech
  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-finetuned-on-shEMO_speech

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6265
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3533        | 1.0   | 75   | 1.2104          | 0.6167   |
| 1.0603        | 2.0   | 150  | 0.8963          | 0.7167   |
| 0.7558        | 3.0   | 225  | 0.6868          | 0.8233   |
| 0.5619        | 4.0   | 300  | 0.6482          | 0.8333   |
| 0.5089        | 5.0   | 375  | 0.5713          | 0.8467   |
| 0.333         | 6.0   | 450  | 0.6046          | 0.83     |
| 0.2968        | 7.0   | 525  | 0.5426          | 0.8633   |
| 0.2957        | 8.0   | 600  | 0.5003          | 0.87     |
| 0.1713        | 9.0   | 675  | 0.5812          | 0.87     |
| 0.1744        | 10.0  | 750  | 0.6211          | 0.8533   |
| 0.0821        | 11.0  | 825  | 0.6015          | 0.87     |
| 0.0961        | 12.0  | 900  | 0.5906          | 0.87     |
| 0.0969        | 13.0  | 975  | 0.6339          | 0.8633   |
| 0.1125        | 14.0  | 1050 | 0.6203          | 0.86     |
| 0.0496        | 15.0  | 1125 | 0.6204          | 0.8667   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1