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

# fine_tuned_emo_classif

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9560
- Accuracy: 0.6442

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.597         | 0.9965 | 71   | 1.5666          | 0.3676   |
| 1.3149        | 1.9930 | 142  | 1.2817          | 0.5374   |
| 1.2092        | 2.9895 | 213  | 1.1453          | 0.5858   |
| 1.0891        | 4.0    | 285  | 1.0779          | 0.6073   |
| 1.0319        | 4.9965 | 356  | 1.0494          | 0.6205   |
| 0.943         | 5.9930 | 427  | 1.0233          | 0.6201   |
| 0.8919        | 6.9895 | 498  | 0.9688          | 0.6425   |
| 0.8901        | 8.0    | 570  | 0.9703          | 0.6346   |
| 0.8899        | 8.9965 | 641  | 0.9506          | 0.6486   |
| 0.8277        | 9.9649 | 710  | 0.9560          | 0.6442   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1