---
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: 18.0808
- Wer: 1.0

## 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: 0.0003
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.1986        | 0.28  | 500  | 8.8308          | 1.0007 |
| 5.1211        | 0.56  | 1000 | 12.3407         | 1.0025 |
| 4.4472        | 0.84  | 1500 | 14.1840         | 1.0025 |
| 5.4118        | 1.12  | 2000 | 11.8314         | 1.0469 |
| 5.2992        | 1.4   | 2500 | 14.5952         | 1.0047 |
| 5.1043        | 1.68  | 3000 | 13.5353         | 1.0055 |
| 5.4595        | 1.96  | 3500 | 16.3452         | 1.0020 |
| 4.5259        | 2.24  | 4000 | 17.2874         | 1.0018 |
| 4.6534        | 2.52  | 4500 | 18.2703         | 1.0010 |
| 4.3052        | 2.8   | 5000 | 18.0808         | 1.0    |


### Framework versions

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