---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-base-libri-pruning-v2-testing4-final
  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. -->

# hubert-base-libri-pruning-v2-testing4-final

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5133
- Wer: 0.9962

## 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: 5e-05
- train_batch_size: 64
- 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: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.0283        | 1.12  | 500  | 11.2288         | 1.0    |
| 6.3979        | 2.24  | 1000 | 7.1301          | 0.9999 |
| 4.2992        | 3.36  | 1500 | 4.9714          | 0.9993 |
| 3.5827        | 4.48  | 2000 | 4.3086          | 0.9993 |
| 3.2057        | 5.61  | 2500 | 3.7872          | 0.9991 |
| 2.8439        | 6.73  | 3000 | 3.2309          | 0.9986 |
| 2.5046        | 7.85  | 3500 | 2.7973          | 0.9976 |
| 2.2656        | 8.97  | 4000 | 2.5133          | 0.9962 |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3