---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_mind_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_mind_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: 2.6476
- Accuracy: 0.0354

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.8    | 3    | 2.6463          | 0.0619   |
| No log        | 1.8667 | 7    | 2.6434          | 0.0265   |
| 2.6383        | 2.9333 | 11   | 2.6488          | 0.0265   |
| 2.6383        | 4.0    | 15   | 2.6528          | 0.0265   |
| 2.6383        | 4.8    | 18   | 2.6494          | 0.0265   |
| 2.6295        | 5.8667 | 22   | 2.6495          | 0.0265   |
| 2.6295        | 6.9333 | 26   | 2.6481          | 0.0354   |
| 2.617         | 8.0    | 30   | 2.6476          | 0.0354   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1