---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_emotion_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. -->

# my_awesome_emotion_model

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: 1.6526
- Accuracy: 0.4938

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4362        | 0.98  | 47   | 2.3331          | 0.3124   |
| 2.1636        | 1.99  | 95   | 2.0618          | 0.3707   |
| 1.9869        | 2.99  | 143  | 1.9420          | 0.3870   |
| 1.8686        | 4.0   | 191  | 1.8900          | 0.3955   |
| 1.7885        | 4.98  | 238  | 1.7958          | 0.4414   |
| 1.6869        | 5.99  | 286  | 1.7295          | 0.4650   |
| 1.6069        | 6.99  | 334  | 1.7144          | 0.4748   |
| 1.5487        | 8.0   | 382  | 1.6685          | 0.4905   |
| 1.5576        | 8.98  | 429  | 1.6590          | 0.4964   |
| 1.4776        | 9.84  | 470  | 1.6526          | 0.4938   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2