---
license: apache-2.0
tags:
- automatic-speech-recognition
- hts98/original_ver1.2
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-robust-paper
  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. -->

# wav2vec2-large-robust-paper

This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the HTS98/ORIGINAL_VER1.2 - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8696
- Wer: 0.4572

## 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: 10
- 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: 420
- num_epochs: 50.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 335   | 3.9163          | 1.0    |
| 7.1369        | 2.0   | 670   | 3.3422          | 1.0    |
| 3.3448        | 3.0   | 1005  | 3.3355          | 1.0    |
| 3.3448        | 4.0   | 1340  | 3.3263          | 1.0    |
| 3.3277        | 5.0   | 1675  | 2.8928          | 1.0079 |
| 2.6655        | 6.0   | 2010  | 1.7822          | 0.8788 |
| 2.6655        | 7.0   | 2345  | 1.3193          | 0.7055 |
| 1.4617        | 8.0   | 2680  | 1.1408          | 0.6070 |
| 1.0805        | 9.0   | 3015  | 1.0108          | 0.5422 |
| 1.0805        | 10.0  | 3350  | 0.9517          | 0.5154 |
| 0.8759        | 11.0  | 3685  | 0.9082          | 0.4902 |
| 0.7462        | 12.0  | 4020  | 0.8758          | 0.4706 |
| 0.7462        | 13.0  | 4355  | 0.8696          | 0.4572 |
| 0.6429        | 14.0  | 4690  | 0.8731          | 0.4535 |
| 0.5672        | 15.0  | 5025  | 0.8749          | 0.4508 |
| 0.5672        | 16.0  | 5360  | 0.8753          | 0.4512 |
| 0.4959        | 17.0  | 5695  | 0.9039          | 0.4487 |
| 0.4456        | 18.0  | 6030  | 0.9161          | 0.4433 |
| 0.4456        | 19.0  | 6365  | 0.9506          | 0.4430 |
| 0.392         | 20.0  | 6700  | 0.9412          | 0.4439 |
| 0.3594        | 21.0  | 7035  | 0.9884          | 0.4416 |
| 0.3594        | 22.0  | 7370  | 1.0222          | 0.4510 |
| 0.3175        | 23.0  | 7705  | 1.0345          | 0.4439 |
| 0.2947        | 24.0  | 8040  | 1.0849          | 0.4465 |
| 0.2947        | 25.0  | 8375  | 1.0879          | 0.4472 |
| 0.2674        | 26.0  | 8710  | 1.1071          | 0.4512 |
| 0.2521        | 27.0  | 9045  | 1.1147          | 0.4494 |
| 0.2521        | 28.0  | 9380  | 1.1426          | 0.4525 |
| 0.2321        | 29.0  | 9715  | 1.1592          | 0.4440 |
| 0.2235        | 30.0  | 10050 | 1.1782          | 0.4450 |
| 0.2235        | 31.0  | 10385 | 1.2050          | 0.4437 |
| 0.2071        | 32.0  | 10720 | 1.2224          | 0.4400 |
| 0.1951        | 33.0  | 11055 | 1.2270          | 0.4471 |
| 0.1951        | 34.0  | 11390 | 1.2466          | 0.4483 |
| 0.1892        | 35.0  | 11725 | 1.2325          | 0.4429 |
| 0.1809        | 36.0  | 12060 | 1.2755          | 0.4427 |
| 0.1809        | 37.0  | 12395 | 1.2675          | 0.4422 |
| 0.1746        | 38.0  | 12730 | 1.3022          | 0.4418 |
| 0.1656        | 39.0  | 13065 | 1.3179          | 0.4408 |
| 0.1656        | 40.0  | 13400 | 1.2934          | 0.4425 |
| 0.1614        | 41.0  | 13735 | 1.3304          | 0.4426 |
| 0.1564        | 42.0  | 14070 | 1.3148          | 0.4420 |
| 0.1564        | 43.0  | 14405 | 1.3267          | 0.4433 |
| 0.1546        | 44.0  | 14740 | 1.3331          | 0.4413 |
| 0.1515        | 45.0  | 15075 | 1.3445          | 0.4388 |
| 0.1515        | 46.0  | 15410 | 1.3530          | 0.4372 |
| 0.147         | 47.0  | 15745 | 1.3443          | 0.4385 |
| 0.1447        | 48.0  | 16080 | 1.3503          | 0.4369 |
| 0.1447        | 49.0  | 16415 | 1.3590          | 0.4393 |
| 0.1437        | 50.0  | 16750 | 1.3668          | 0.4372 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2