---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4483
- Accuracy: 0.8462

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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        | 0.86  | 3    | 0.4483          | 0.8462   |
| No log        | 2.0   | 7    | 0.4827          | 0.8462   |
| 0.4433        | 2.86  | 10   | 0.4312          | 0.8462   |
| 0.4433        | 4.0   | 14   | 0.4371          | 0.8462   |
| 0.4433        | 4.86  | 17   | 0.4490          | 0.8462   |
| 0.3769        | 6.0   | 21   | 0.4524          | 0.8462   |
| 0.3769        | 6.86  | 24   | 0.4367          | 0.8462   |
| 0.3769        | 8.0   | 28   | 0.4324          | 0.8462   |
| 0.3639        | 8.57  | 30   | 0.4336          | 0.8462   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1