---
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: 5.2453
- Wer: 1.9070

## 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: 0.001
- 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: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.6407        | 0.28  | 500  | 6.3882          | 1.9939 |
| 5.6351        | 0.56  | 1000 | 6.1492          | 2.0010 |
| 5.4896        | 0.84  | 1500 | 5.8014          | 1.9549 |
| 4.9941        | 1.12  | 2000 | 5.7117          | 1.9888 |
| 5.1524        | 1.4   | 2500 | 5.5260          | 1.3353 |
| 4.8291        | 1.68  | 3000 | 5.4030          | 1.9694 |
| 4.6539        | 1.96  | 3500 | 5.3507          | 1.9606 |
| 4.351         | 2.24  | 4000 | 5.4178          | 1.9678 |
| 4.1189        | 2.52  | 4500 | 5.2799          | 1.9154 |
| 3.9921        | 2.8   | 5000 | 5.2453          | 1.9070 |


### Framework versions

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