---
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: 1.8529
- Wer: 0.9977

## 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: 0.0001
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.5506        | 2.8   | 2500  | 4.4928          | 1.8772 |
| 0.5145        | 5.61  | 5000  | 1.8942          | 1.1063 |
| 0.2736        | 8.41  | 7500  | 1.6550          | 1.0372 |
| 0.0807        | 11.21 | 10000 | 1.7601          | 1.0004 |
| 0.0439        | 14.01 | 12500 | 1.8014          | 1.0022 |
| 0.043         | 16.82 | 15000 | 1.8534          | 1.0097 |
| 0.0434        | 19.62 | 17500 | 1.8529          | 0.9977 |


### Framework versions

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