---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- minds14
metrics:
- accuracy
model-index:
- name: my_awesome_mind
  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

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6391
- Accuracy: 0.0885

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.2283        | 11.53 | 35   | 2.6432          | 0.1062   |
| 3.4248        | 23.27 | 70   | 2.6394          | 0.0973   |
| 3.4245        | 34.8  | 105  | 2.6404          | 0.0442   |
| 3.2245        | 46.53 | 140  | 2.6405          | 0.0531   |
| 3.2287        | 58.27 | 175  | 2.6416          | 0.0796   |
| 3.2289        | 69.8  | 210  | 2.6424          | 0.0973   |
| 3.2252        | 81.53 | 245  | 2.6396          | 0.1062   |
| 3.424         | 93.27 | 280  | 2.6391          | 0.0885   |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.13.1
- Datasets 2.15.0
- Tokenizers 0.10.3