---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-5
  results: []
---

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# libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-5

This model is a fine-tuned version of [rohitp1/libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-3](https://huggingface.co/rohitp1/libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 30.3050
- Wer: 0.2650

## 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: 0.002
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 239.4865      | 1.12  | 400  | 31.0836         | 0.2908 |
| 210.2046      | 2.25  | 800  | 29.7831         | 0.2742 |
| 195.0478      | 3.37  | 1200 | 28.8794         | 0.2636 |
| 188.8096      | 4.49  | 1600 | 28.7458         | 0.2600 |
| 183.6592      | 5.62  | 2000 | 29.1159         | 0.2573 |
| 181.5025      | 6.74  | 2400 | 29.0081         | 0.2564 |
| 181.9954      | 7.86  | 2800 | 28.7132         | 0.2588 |
| 181.8548      | 8.99  | 3200 | 29.3207         | 0.2630 |
| 186.2524      | 10.11 | 3600 | 29.9119         | 0.2593 |
| 188.3838      | 11.24 | 4000 | 30.2963         | 0.2627 |
| 192.2623      | 12.36 | 4400 | 30.3050         | 0.2650 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0