---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-base-libri-pruning-v2-testing4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hubert-base-libri-pruning-v2-testing4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: -7567.2393
- Wer: 0.4152

## 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: 0.00015
- 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: 3000
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| -14.3764      | 1.12  | 500   | -47.0110        | 0.5199 |
| -106.5551     | 2.24  | 1000  | -189.6375       | 0.4788 |
| -290.9837     | 3.36  | 1500  | -427.6701       | 0.4637 |
| -566.8718     | 4.48  | 2000  | -760.7963       | 0.4523 |
| -932.8283     | 5.61  | 2500  | -1188.8673      | 0.4457 |
| -1393.9495    | 6.73  | 3000  | -1711.7064      | 0.4362 |
| -1926.4679    | 7.85  | 3500  | -2267.1279      | 0.4336 |
| -2446.4408    | 8.97  | 4000  | -2795.6897      | 0.4307 |
| -2944.8128    | 10.09 | 4500  | -3294.3000      | 0.4279 |
| -3416.905     | 11.21 | 5000  | -3766.8943      | 0.4254 |
| -3865.4817    | 12.33 | 5500  | -4211.6885      | 0.4219 |
| -4285.8215    | 13.45 | 6000  | -4628.7329      | 0.4223 |
| -4660.695     | 14.57 | 6500  | -5017.9912      | 0.4184 |
| -5032.002     | 15.7  | 7000  | -5379.4785      | 0.4213 |
| -5351.629     | 16.82 | 7500  | -5713.4419      | 0.4186 |
| -5659.1765    | 17.94 | 8000  | -6019.7510      | 0.4195 |
| -5957.58      | 19.06 | 8500  | -6296.5054      | 0.4189 |
| -6215.3305    | 20.18 | 9000  | -6547.0381      | 0.4165 |
| -6441.2955    | 21.3  | 9500  | -6770.7163      | 0.4172 |
| -6651.3045    | 22.42 | 10000 | -6966.9087      | 0.4160 |
| -6811.32      | 23.54 | 10500 | -7135.6860      | 0.4155 |
| -6964.2775    | 24.66 | 11000 | -7277.1060      | 0.4171 |
| -7115.7955    | 25.78 | 11500 | -7390.9673      | 0.4156 |
| -7187.0235    | 26.91 | 12000 | -7477.7656      | 0.4151 |
| -7259.9035    | 28.03 | 12500 | -7535.0112      | 0.4148 |
| -7302.289     | 29.15 | 13000 | -7567.2393      | 0.4152 |


### Framework versions

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