---
tags:
- generated_from_trainer
datasets:
- librispeech_asr
model-index:
- name: ''
  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. -->

# 

This model was trained from scratch on the librispeech_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 12.7395
- Wer: 2.0272

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 6.6781        | 1.68  | 1500  | 6.6386          | 1.1672 |
| 6.6836        | 3.36  | 3000  | 6.6587          | 1.9518 |
| 6.6622        | 5.04  | 4500  | 6.5888          | 1.9276 |
| 5.844         | 6.73  | 6000  | 6.7220          | 1.9423 |
| 6.4588        | 8.41  | 7500  | 7.7569          | 1.9964 |
| 6.4097        | 10.09 | 9000  | 9.2515          | 2.0168 |
| 6.2676        | 11.77 | 10500 | 9.8159          | 2.0179 |
| 6.4948        | 13.45 | 12000 | 10.7091         | 2.0223 |
| 6.2728        | 15.13 | 13500 | 11.7747         | 2.0255 |
| 6.319         | 16.82 | 15000 | 12.2084         | 2.0259 |
| 5.8157        | 18.5  | 16500 | 12.7395         | 2.0272 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0