pytorch tensorboard speech-encoder-decoder automatic-speech-recognition dataset:librispeech_asr transformers generated_from_trainer model-index
---
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
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# 

This model was trained from scratch on the librispeech_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5541
- Wer: 1.9877

## 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: 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.9364        | 0.28  | 500  | 6.3613          | 1.9833 |
| 1.941         | 0.56  | 1000 | 5.6974          | 1.9746 |
| 2.3312        | 0.84  | 1500 | 5.6979          | 1.7345 |
| 2.8004        | 1.12  | 2000 | 6.0436          | 1.6787 |
| 3.0003        | 1.4   | 2500 | 6.0955          | 1.7625 |
| 2.9677        | 1.68  | 3000 | 6.2841          | 1.6731 |
| 2.2759        | 1.96  | 3500 | 6.3094          | 1.7494 |
| 2.2989        | 2.24  | 4000 | 6.9891          | 1.9115 |
| 1.8814        | 2.52  | 4500 | 6.9818          | 1.9832 |
| 2.658         | 2.8   | 5000 | 6.5541          | 1.9877 |


### Framework versions

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