---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: urdumodel
  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. -->

# urdumodel

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4939
- Wer: 0.3698
- Cer: 0.1465

## 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: 0.0003
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Cer    | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|
| 2.8998        | 1.0   | 508   | 0.2832 | 1.0261          | 0.7004 |
| 0.7426        | 2.0   | 1016  | 0.2026 | 0.6532          | 0.5236 |
| 0.5694        | 3.0   | 1524  | 0.1799 | 0.5495          | 0.4611 |
| 0.4966        | 4.0   | 2032  | 0.1729 | 0.5361          | 0.4350 |
| 0.4555        | 5.0   | 2540  | 0.1684 | 0.5335          | 0.4266 |
| 0.4203        | 6.0   | 3048  | 0.1641 | 0.5040          | 0.4107 |
| 0.3951        | 7.0   | 3556  | 0.1579 | 0.5213          | 0.4037 |
| 0.3675        | 8.0   | 4064  | 0.1563 | 0.4949          | 0.3973 |
| 0.3555        | 9.0   | 4572  | 0.1581 | 0.4968          | 0.3978 |
| 0.3408        | 10.0  | 5080  | 0.1561 | 0.4827          | 0.3925 |
| 0.3286        | 11.0  | 5588  | 0.1524 | 0.5011          | 0.3858 |
| 0.3156        | 12.0  | 6096  | 0.1524 | 0.4871          | 0.3833 |
| 0.3047        | 13.0  | 6604  | 0.1499 | 0.4835          | 0.3774 |
| 0.2929        | 14.0  | 7112  | 0.1489 | 0.4844          | 0.3751 |
| 0.2912        | 15.0  | 7620  | 0.4929 | 0.3763          | 0.1486 |
| 0.2969        | 16.0  | 8128  | 0.4990 | 0.3749          | 0.1481 |
| 0.2946        | 17.0  | 8636  | 0.4943 | 0.3735          | 0.1485 |
| 0.2851        | 18.0  | 9144  | 0.4893 | 0.3717          | 0.1477 |
| 0.279         | 19.0  | 9652  | 0.4977 | 0.3693          | 0.1464 |
| 0.2718        | 20.0  | 10160 | 0.4939 | 0.3698          | 0.1465 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0
- Datasets 2.4.0
- Tokenizers 0.12.1