---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: my_awesome_asr_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_asr_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: 8.1710
- Wer: 1.0

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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_steps: 2
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 58.3347       | 1.0   | 5    | 30.3906         | 1.2065 |
| 49.6382       | 2.0   | 10   | 30.3906         | 1.2065 |
| 47.2021       | 3.0   | 15   | 26.6334         | 1.0109 |
| 28.9906       | 4.0   | 20   | 22.2268         | 1.0    |
| 28.247        | 5.0   | 25   | 18.9242         | 1.0    |
| 27.9882       | 6.0   | 30   | 15.4867         | 1.0    |
| 22.125        | 7.0   | 35   | 12.5733         | 1.0    |
| 18.5329       | 8.0   | 40   | 10.6346         | 1.0    |
| 14.7859       | 9.0   | 45   | 9.1798          | 1.0    |
| 14.7127       | 10.0  | 50   | 8.1710          | 1.0    |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1