---
license: apache-2.0
tags:
- automatic-speech-recognition
- hts98/original_ver1.2
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-960h-lv60-self-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-960h-lv60-self-paper

This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the HTS98/ORIGINAL_VER1.2 - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6788
- Wer: 0.3320

## 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: 8
- 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   | 419   | 3.3473          | 1.0    |
| 5.8068        | 2.0   | 838   | 1.9191          | 0.8917 |
| 2.5663        | 3.0   | 1257  | 1.1006          | 0.5802 |
| 1.1433        | 4.0   | 1676  | 0.9009          | 0.4814 |
| 0.8522        | 5.0   | 2095  | 0.8215          | 0.4247 |
| 0.7256        | 6.0   | 2514  | 0.7522          | 0.3922 |
| 0.7256        | 7.0   | 2933  | 0.7202          | 0.3654 |
| 0.6239        | 8.0   | 3352  | 0.6909          | 0.3579 |
| 0.5618        | 9.0   | 3771  | 0.6887          | 0.3400 |
| 0.4998        | 10.0  | 4190  | 0.6788          | 0.3320 |
| 0.4569        | 11.0  | 4609  | 0.6805          | 0.3351 |
| 0.4156        | 12.0  | 5028  | 0.6910          | 0.3253 |
| 0.4156        | 13.0  | 5447  | 0.6859          | 0.3279 |
| 0.3763        | 14.0  | 5866  | 0.7075          | 0.3207 |
| 0.3473        | 15.0  | 6285  | 0.7174          | 0.3152 |
| 0.3141        | 16.0  | 6704  | 0.7284          | 0.3171 |
| 0.2884        | 17.0  | 7123  | 0.7537          | 0.3192 |
| 0.2771        | 18.0  | 7542  | 0.7312          | 0.3175 |
| 0.2771        | 19.0  | 7961  | 0.7669          | 0.3138 |
| 0.2538        | 20.0  | 8380  | 0.8143          | 0.3074 |
| 0.2319        | 21.0  | 8799  | 0.8185          | 0.3088 |
| 0.2206        | 22.0  | 9218  | 0.8111          | 0.3069 |
| 0.2093        | 23.0  | 9637  | 0.8248          | 0.3088 |
| 0.1979        | 24.0  | 10056 | 0.8572          | 0.3067 |
| 0.1979        | 25.0  | 10475 | 0.8710          | 0.3074 |
| 0.1852        | 26.0  | 10894 | 0.8922          | 0.3067 |
| 0.1742        | 27.0  | 11313 | 0.9040          | 0.3068 |
| 0.1688        | 28.0  | 11732 | 0.9144          | 0.3016 |
| 0.1578        | 29.0  | 12151 | 0.8990          | 0.3109 |
| 0.1557        | 30.0  | 12570 | 0.9465          | 0.3004 |
| 0.1557        | 31.0  | 12989 | 0.9480          | 0.3025 |
| 0.1456        | 32.0  | 13408 | 0.9731          | 0.3017 |
| 0.1398        | 33.0  | 13827 | 0.9633          | 0.3038 |
| 0.1343        | 34.0  | 14246 | 0.9844          | 0.3011 |
| 0.1275        | 35.0  | 14665 | 1.0078          | 0.2997 |
| 0.1266        | 36.0  | 15084 | 1.0066          | 0.2996 |
| 0.1243        | 37.0  | 15503 | 1.0133          | 0.3014 |
| 0.1243        | 38.0  | 15922 | 1.0387          | 0.2972 |
| 0.1182        | 39.0  | 16341 | 1.0173          | 0.3026 |
| 0.1152        | 40.0  | 16760 | 1.0527          | 0.2977 |
| 0.1134        | 41.0  | 17179 | 1.0491          | 0.2978 |
| 0.1101        | 42.0  | 17598 | 1.0662          | 0.2976 |
| 0.1083        | 43.0  | 18017 | 1.0544          | 0.2979 |
| 0.1083        | 44.0  | 18436 | 1.0599          | 0.2957 |
| 0.1073        | 45.0  | 18855 | 1.0767          | 0.2959 |
| 0.1045        | 46.0  | 19274 | 1.0773          | 0.2959 |
| 0.1024        | 47.0  | 19693 | 1.0731          | 0.2953 |
| 0.1015        | 48.0  | 20112 | 1.0823          | 0.2966 |
| 0.1016        | 49.0  | 20531 | 1.0885          | 0.2945 |
| 0.1016        | 50.0  | 20950 | 1.0854          | 0.2950 |


### Framework versions

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