---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-base-finetuned-iemocap-fin2
  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-base-finetuned-iemocap-fin2

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: 1.1912
- Accuracy: 0.5597
- F1: 0.5453

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.2603        | 1.0   | 102  | 1.2581          | 0.4617   | 0.4105 |
| 1.1338        | 2.0   | 204  | 1.1471          | 0.4801   | 0.4369 |
| 1.0899        | 3.0   | 306  | 1.1386          | 0.4782   | 0.4459 |
| 1.0501        | 4.0   | 408  | 1.0894          | 0.5218   | 0.5096 |
| 0.9892        | 5.0   | 510  | 1.0778          | 0.5422   | 0.5339 |
| 0.8943        | 6.0   | 612  | 1.1394          | 0.5141   | 0.4730 |
| 0.9112        | 7.0   | 714  | 1.0634          | 0.5529   | 0.5379 |
| 0.8688        | 8.0   | 816  | 1.0726          | 0.5664   | 0.5576 |
| 0.8807        | 9.0   | 918  | 1.2264          | 0.5209   | 0.4822 |
| 0.8027        | 10.0  | 1020 | 1.0469          | 0.5839   | 0.5843 |
| 0.7069        | 11.0  | 1122 | 1.1171          | 0.5587   | 0.5398 |
| 0.6508        | 12.0  | 1224 | 1.1889          | 0.5480   | 0.5292 |
| 0.6406        | 13.0  | 1326 | 1.1800          | 0.5664   | 0.5501 |
| 0.6072        | 14.0  | 1428 | 1.1841          | 0.5558   | 0.5413 |
| 0.6277        | 15.0  | 1530 | 1.1912          | 0.5597   | 0.5453 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0