---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w_small_lv_70_norm
  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. -->

# w_small_lv_70_norm

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6392
- Wer: 55.8512

## 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: 1e-05
- 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: 500
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.6903        | 0.7184 | 1000 | 0.6575          | 62.6997 |
| 0.449         | 1.4368 | 2000 | 0.6212          | 64.2444 |
| 0.3108        | 2.1552 | 3000 | 0.6157          | 71.5088 |
| 0.293         | 2.8736 | 4000 | 0.6116          | 61.7210 |
| 0.2093        | 3.5920 | 5000 | 0.6392          | 55.8512 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1