---
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: 3.4146
- 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: 30
- training_steps: 300
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 50.2402       | 6.0   | 30   | 35.6862         | 1.0 |
| 30.6841       | 12.0  | 60   | 6.6236          | 1.0 |
| 8.3238        | 18.0  | 90   | 4.0080          | 1.0 |
| 4.663         | 24.0  | 120  | 3.7875          | 1.0 |
| 3.986         | 30.0  | 150  | 3.6613          | 1.0 |
| 3.9205        | 36.0  | 180  | 3.5573          | 1.0 |
| 3.7835        | 42.0  | 210  | 3.4962          | 1.0 |
| 3.7003        | 48.0  | 240  | 3.4505          | 1.0 |
| 3.6903        | 54.0  | 270  | 3.4273          | 1.0 |
| 3.6331        | 60.0  | 300  | 3.4146          | 1.0 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2