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

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: 0.8307
- Accuracy: 0.7125

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2601        | 1.0   | 139  | 1.0943          | 0.5371   |
| 1.0326        | 2.0   | 278  | 0.9921          | 0.5606   |
| 0.9372        | 3.0   | 417  | 0.9109          | 0.6474   |
| 0.8137        | 4.0   | 556  | 0.8505          | 0.6637   |
| 0.6846        | 5.0   | 695  | 0.8075          | 0.7071   |
| 0.5873        | 6.0   | 834  | 0.7864          | 0.7179   |
| 0.4847        | 7.0   | 973  | 0.8270          | 0.7052   |
| 0.4171        | 8.0   | 1112 | 0.8113          | 0.7161   |
| 0.347         | 9.0   | 1251 | 0.8206          | 0.7215   |
| 0.2986        | 10.0  | 1390 | 0.8307          | 0.7125   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1