pytorch tensorboard wav2vec2 transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: nick_asr_COMBO_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nick_asr_COMBO_v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4474
- Wer: 0.6535
- Cer: 0.2486

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.3049        | 1.0   | 687  | 1.5013          | 0.7015 | 0.2607 |
| 0.2294        | 2.0   | 1374 | 1.5933          | 0.6693 | 0.2612 |
| 0.261         | 3.0   | 2061 | 1.6275          | 0.6985 | 0.2687 |
| 0.2658        | 4.0   | 2748 | 1.5568          | 0.6729 | 0.2581 |
| 0.1704        | 5.0   | 3435 | 1.5363          | 0.6650 | 0.2529 |
| 0.2537        | 6.0   | 4122 | 1.5764          | 0.6669 | 0.2542 |
| 0.2333        | 7.0   | 4809 | 1.5285          | 0.6596 | 0.2519 |
| 0.168         | 8.0   | 5496 | 1.4945          | 0.6571 | 0.2500 |
| 0.3263        | 9.0   | 6183 | 1.4968          | 0.6547 | 0.2510 |
| 0.3238        | 10.0  | 6870 | 1.4474          | 0.6535 | 0.2486 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
