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

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the HTS98/ORIGINAL_VER1.2 - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8214
- Wer: 0.9640

## 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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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        | 0.99  | 104  | 5.6840          | 1.0    |
| No log        | 2.0   | 209  | 3.9772          | 1.0    |
| No log        | 3.0   | 314  | 3.4204          | 1.0    |
| No log        | 4.0   | 419  | 3.3692          | 1.0    |
| 5.5612        | 4.99  | 523  | 3.3945          | 1.0    |
| 5.5612        | 6.0   | 628  | 3.3426          | 1.0    |
| 5.5612        | 7.0   | 733  | 3.3333          | 1.0    |
| 5.5612        | 8.0   | 838  | 3.3296          | 1.0001 |
| 5.5612        | 8.99  | 942  | 3.1853          | 0.9999 |
| 3.2743        | 10.0  | 1047 | 2.1381          | 1.0245 |
| 3.2743        | 11.0  | 1152 | 1.6965          | 1.0142 |
| 3.2743        | 12.0  | 1257 | 1.4230          | 1.0011 |
| 3.2743        | 12.99 | 1361 | 1.2679          | 0.9873 |
| 3.2743        | 14.0  | 1466 | 1.1570          | 0.9836 |
| 1.5432        | 15.0  | 1571 | 1.0858          | 0.9784 |
| 1.5432        | 16.0  | 1676 | 1.0303          | 0.9769 |
| 1.5432        | 16.99 | 1780 | 0.9855          | 0.9746 |
| 1.5432        | 18.0  | 1885 | 0.9559          | 0.9709 |
| 1.5432        | 19.0  | 1990 | 0.9328          | 0.9728 |
| 0.902         | 20.0  | 2095 | 0.9166          | 0.9738 |
| 0.902         | 20.99 | 2199 | 0.8991          | 0.9698 |
| 0.902         | 22.0  | 2304 | 0.8717          | 0.9681 |
| 0.902         | 23.0  | 2409 | 0.8665          | 0.9669 |
| 0.7003        | 24.0  | 2514 | 0.8589          | 0.9670 |
| 0.7003        | 24.99 | 2618 | 0.8420          | 0.9659 |
| 0.7003        | 26.0  | 2723 | 0.8473          | 0.9661 |
| 0.7003        | 27.0  | 2828 | 0.8543          | 0.9666 |
| 0.7003        | 28.0  | 2933 | 0.8315          | 0.9623 |
| 0.5914        | 28.99 | 3037 | 0.8281          | 0.9626 |
| 0.5914        | 30.0  | 3142 | 0.8315          | 0.9625 |
| 0.5914        | 31.0  | 3247 | 0.8261          | 0.9620 |
| 0.5914        | 32.0  | 3352 | 0.8214          | 0.9640 |
| 0.5914        | 32.99 | 3456 | 0.8310          | 0.9634 |
| 0.5157        | 34.0  | 3561 | 0.8252          | 0.9635 |
| 0.5157        | 35.0  | 3666 | 0.8373          | 0.9638 |
| 0.5157        | 36.0  | 3771 | 0.8422          | 0.9629 |
| 0.5157        | 36.99 | 3875 | 0.8294          | 0.9632 |
| 0.5157        | 38.0  | 3980 | 0.8332          | 0.9576 |
| 0.4655        | 39.0  | 4085 | 0.8330          | 0.9595 |
| 0.4655        | 40.0  | 4190 | 0.8297          | 0.9625 |
| 0.4655        | 40.99 | 4294 | 0.8365          | 0.9621 |
| 0.4655        | 42.0  | 4399 | 0.8361          | 0.9621 |
| 0.4266        | 43.0  | 4504 | 0.8416          | 0.9625 |
| 0.4266        | 44.0  | 4609 | 0.8381          | 0.9634 |
| 0.4266        | 44.99 | 4713 | 0.8448          | 0.9645 |
| 0.4266        | 46.0  | 4818 | 0.8447          | 0.9625 |
| 0.4266        | 47.0  | 4923 | 0.8464          | 0.9641 |
| 0.4019        | 48.0  | 5028 | 0.8449          | 0.9628 |
| 0.4019        | 48.99 | 5132 | 0.8487          | 0.9626 |
| 0.4019        | 49.64 | 5200 | 0.8465          | 0.9629 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.7.0
- Tokenizers 0.13.3