---
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: 0.8384
- Wer: 0.1367

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 6.2245        | 1.68  | 1500  | 6.1442          | 1.5986 |
| 5.4521        | 3.36  | 3000  | 5.4335          | 1.6439 |
| 3.3659        | 5.04  | 4500  | 3.6455          | 0.6503 |
| 1.5724        | 6.73  | 6000  | 2.3554          | 0.3386 |
| 1.4759        | 8.41  | 7500  | 1.7423          | 0.2889 |
| 1.0826        | 10.09 | 9000  | 1.3818          | 0.2209 |
| 0.6769        | 11.77 | 10500 | 1.1268          | 0.1737 |
| 0.7348        | 13.45 | 12000 | 0.9990          | 0.1575 |
| 0.5419        | 15.13 | 13500 | 0.9435          | 0.1560 |
| 0.4212        | 16.82 | 15000 | 0.8678          | 0.1405 |
| 0.3805        | 18.5  | 16500 | 0.8384          | 0.1367 |


### Framework versions

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