---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-shallow-bart-5k-1e-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# w2v2-shallow-bart-5k-1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2228
- Wer: 219.0067

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.4271        | 0.2   | 1000 | 5.5063          | 287.8938 |
| 4.9304        | 1.04  | 2000 | 5.4201          | 198.6618 |
| 4.6411        | 1.24  | 3000 | 5.2925          | 332.8481 |
| 4.3797        | 2.09  | 4000 | 5.2913          | 155.6744 |
| 4.2848        | 2.29  | 5000 | 5.2228          | 219.0067 |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.13.2