---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: urdu-emotions
  results: []
language:
- ur
datasets:
- Pak-Speech-Processing/urdu-emotions
---

<!-- 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. -->

# urdu-emotions

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: 0.0077
- Accuracy: 1.0

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 8    | 1.0905          | 0.4833   |
| 1.0739        | 2.0   | 16   | 1.0736          | 0.5      |
| 1.0341        | 3.0   | 24   | 0.9888          | 0.75     |
| 0.9797        | 4.0   | 32   | 0.9144          | 0.7667   |
| 0.8716        | 5.0   | 40   | 0.8531          | 0.75     |
| 0.8716        | 6.0   | 48   | 0.7572          | 0.75     |
| 0.7905        | 7.0   | 56   | 0.6556          | 0.7333   |
| 0.6837        | 8.0   | 64   | 0.5976          | 0.7167   |
| 0.6611        | 9.0   | 72   | 0.5298          | 0.7667   |
| 0.5744        | 10.0  | 80   | 0.5014          | 0.8      |
| 0.5744        | 11.0  | 88   | 0.4616          | 0.8667   |
| 0.5402        | 12.0  | 96   | 0.3964          | 0.9667   |
| 0.4185        | 13.0  | 104  | 0.3536          | 0.8833   |
| 0.4138        | 14.0  | 112  | 0.2818          | 0.9167   |
| 0.3409        | 15.0  | 120  | 0.2554          | 0.9333   |
| 0.3409        | 16.0  | 128  | 0.1434          | 0.9833   |
| 0.2923        | 17.0  | 136  | 0.1658          | 0.95     |
| 0.2412        | 18.0  | 144  | 0.0775          | 1.0      |
| 0.2038        | 19.0  | 152  | 0.0766          | 1.0      |
| 0.1618        | 20.0  | 160  | 0.0680          | 1.0      |
| 0.1618        | 21.0  | 168  | 0.0517          | 1.0      |
| 0.2041        | 22.0  | 176  | 0.0344          | 1.0      |
| 0.1238        | 23.0  | 184  | 0.0313          | 1.0      |
| 0.1179        | 24.0  | 192  | 0.0269          | 1.0      |
| 0.1738        | 25.0  | 200  | 0.0248          | 1.0      |
| 0.1738        | 26.0  | 208  | 0.0213          | 1.0      |
| 0.1265        | 27.0  | 216  | 0.0363          | 0.9833   |
| 0.1503        | 28.0  | 224  | 0.1058          | 0.9667   |
| 0.1201        | 29.0  | 232  | 0.0270          | 1.0      |
| 0.0484        | 30.0  | 240  | 0.1284          | 0.9667   |
| 0.0484        | 31.0  | 248  | 0.1702          | 0.95     |
| 0.2394        | 32.0  | 256  | 0.0144          | 1.0      |
| 0.1625        | 33.0  | 264  | 0.0145          | 1.0      |
| 0.0999        | 34.0  | 272  | 0.0172          | 1.0      |
| 0.0406        | 35.0  | 280  | 0.0106          | 1.0      |
| 0.0406        | 36.0  | 288  | 0.0098          | 1.0      |
| 0.0374        | 37.0  | 296  | 0.0097          | 1.0      |
| 0.0268        | 38.0  | 304  | 0.0100          | 1.0      |
| 0.0279        | 39.0  | 312  | 0.0111          | 1.0      |
| 0.031         | 40.0  | 320  | 0.0099          | 1.0      |
| 0.031         | 41.0  | 328  | 0.0096          | 1.0      |
| 0.0412        | 42.0  | 336  | 0.0096          | 1.0      |
| 0.0218        | 43.0  | 344  | 0.0087          | 1.0      |
| 0.026         | 44.0  | 352  | 0.0079          | 1.0      |
| 0.0122        | 45.0  | 360  | 0.0081          | 1.0      |
| 0.0122        | 46.0  | 368  | 0.0087          | 1.0      |
| 0.0328        | 47.0  | 376  | 0.0088          | 1.0      |
| 0.0264        | 48.0  | 384  | 0.0084          | 1.0      |
| 0.0339        | 49.0  | 392  | 0.0078          | 1.0      |
| 0.0257        | 50.0  | 400  | 0.0077          | 1.0      |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1