---
license: apache-2.0
tags:
- automatic-speech-recognition
- hts98/original_ver1.2
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-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-xls-r-300m-paper

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the HTS98/ORIGINAL_VER1.2 - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7895
- Wer: 0.4398

## 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   | 3.7157          | 1.0    |
| 6.2976        | 2.0   | 670   | 3.3644          | 1.0    |
| 3.2342        | 3.0   | 1005  | 2.4597          | 0.9739 |
| 3.2342        | 4.0   | 1340  | 1.4160          | 0.7444 |
| 1.2813        | 5.0   | 1675  | 1.1338          | 0.6543 |
| 0.7279        | 6.0   | 2010  | 1.0020          | 0.5856 |
| 0.7279        | 7.0   | 2345  | 0.8435          | 0.4823 |
| 0.5226        | 8.0   | 2680  | 0.8757          | 0.5078 |
| 0.4218        | 9.0   | 3015  | 0.7895          | 0.4398 |
| 0.4218        | 10.0  | 3350  | 0.7992          | 0.4228 |
| 0.3421        | 11.0  | 3685  | 0.8118          | 0.4307 |
| 0.287         | 12.0  | 4020  | 0.8215          | 0.4248 |
| 0.287         | 13.0  | 4355  | 0.8603          | 0.4077 |
| 0.2415        | 14.0  | 4690  | 0.8329          | 0.3886 |
| 0.2132        | 15.0  | 5025  | 0.8728          | 0.3955 |
| 0.2132        | 16.0  | 5360  | 0.8741          | 0.3918 |
| 0.1857        | 17.0  | 5695  | 0.8633          | 0.3675 |
| 0.1673        | 18.0  | 6030  | 0.8884          | 0.3804 |
| 0.1673        | 19.0  | 6365  | 0.9141          | 0.3679 |
| 0.1479        | 20.0  | 6700  | 0.9568          | 0.3605 |
| 0.1386        | 21.0  | 7035  | 0.9341          | 0.3630 |
| 0.1386        | 22.0  | 7370  | 0.9645          | 0.3537 |
| 0.1233        | 23.0  | 7705  | 0.9729          | 0.3567 |
| 0.1177        | 24.0  | 8040  | 1.0013          | 0.3454 |
| 0.1177        | 25.0  | 8375  | 1.0323          | 0.3597 |
| 0.1061        | 26.0  | 8710  | 1.0269          | 0.3456 |
| 0.1028        | 27.0  | 9045  | 1.0042          | 0.3424 |
| 0.1028        | 28.0  | 9380  | 1.0424          | 0.3394 |
| 0.0961        | 29.0  | 9715  | 1.0600          | 0.3412 |
| 0.0949        | 30.0  | 10050 | 1.0512          | 0.3389 |
| 0.0949        | 31.0  | 10385 | 1.0957          | 0.3389 |
| 0.0878        | 32.0  | 10720 | 1.0924          | 0.3311 |
| 0.0852        | 33.0  | 11055 | 1.0859          | 0.3366 |
| 0.0852        | 34.0  | 11390 | 1.1498          | 0.3450 |
| 0.0837        | 35.0  | 11725 | 1.0844          | 0.3329 |
| 0.0814        | 36.0  | 12060 | 1.1051          | 0.3321 |
| 0.0814        | 37.0  | 12395 | 1.0878          | 0.3311 |
| 0.0793        | 38.0  | 12730 | 1.1377          | 0.3286 |
| 0.0759        | 39.0  | 13065 | 1.1136          | 0.3246 |
| 0.0759        | 40.0  | 13400 | 1.1216          | 0.3268 |
| 0.0726        | 41.0  | 13735 | 1.1300          | 0.3253 |
| 0.0715        | 42.0  | 14070 | 1.1507          | 0.3262 |
| 0.0715        | 43.0  | 14405 | 1.1562          | 0.3275 |
| 0.0711        | 44.0  | 14740 | 1.1486          | 0.3219 |
| 0.0699        | 45.0  | 15075 | 1.1580          | 0.3194 |
| 0.0699        | 46.0  | 15410 | 1.1580          | 0.3195 |
| 0.0667        | 47.0  | 15745 | 1.1504          | 0.3212 |
| 0.0667        | 48.0  | 16080 | 1.1580          | 0.3203 |
| 0.0667        | 49.0  | 16415 | 1.1698          | 0.3192 |
| 0.0664        | 50.0  | 16750 | 1.1744          | 0.3192 |


### Framework versions

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