---
license: apache-2.0
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: 0.9568
- 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 6.3983        | 1.0   | 38   | 2.6746          | 1.0 |
| 1.0201        | 2.0   | 76   | 1.0183          | 1.0 |
| 0.98          | 3.0   | 114  | 1.2402          | 1.0 |
| 0.9409        | 4.0   | 152  | 0.9863          | 1.0 |
| 1.0142        | 5.0   | 190  | 0.9881          | 1.0 |
| 0.9615        | 6.0   | 228  | 0.9643          | 1.0 |
| 0.9693        | 7.0   | 266  | 0.9562          | 1.0 |
| 0.943         | 8.0   | 304  | 1.0394          | 1.0 |
| 0.9586        | 9.0   | 342  | 0.9711          | 1.0 |
| 0.9166        | 10.0  | 380  | 0.9568          | 1.0 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2