---
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-53-english-finetuned-ravdess-v6
  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-large-xlsr-53-english-finetuned-ravdess-v6

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0166
- Accuracy: 0.625

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.08          | 0.15  | 25   | 2.0652          | 0.125    |
| 2.057         | 0.31  | 50   | 2.0288          | 0.2083   |
| 2.0031        | 0.46  | 75   | 2.0556          | 0.1667   |
| 1.958         | 0.62  | 100  | 1.9128          | 0.2222   |
| 1.726         | 0.77  | 125  | 1.7048          | 0.3681   |
| 1.6563        | 0.93  | 150  | 1.6522          | 0.3542   |
| 1.7092        | 1.08  | 175  | 1.7439          | 0.2986   |
| 1.5645        | 1.23  | 200  | 1.5394          | 0.4236   |
| 1.4945        | 1.39  | 225  | 1.3462          | 0.5069   |
| 1.4193        | 1.54  | 250  | 1.3745          | 0.4514   |
| 1.3488        | 1.7   | 275  | 1.2707          | 0.5208   |
| 1.3205        | 1.85  | 300  | 1.3819          | 0.5278   |
| 1.2814        | 2.01  | 325  | 1.2694          | 0.5556   |
| 1.118         | 2.16  | 350  | 1.1216          | 0.5625   |
| 1.0507        | 2.31  | 375  | 1.0795          | 0.6042   |
| 0.9967        | 2.47  | 400  | 1.1243          | 0.5764   |
| 0.9471        | 2.62  | 425  | 1.0740          | 0.6181   |
| 0.8582        | 2.78  | 450  | 1.0422          | 0.5903   |
| 0.9264        | 2.93  | 475  | 1.0178          | 0.625    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3