---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_new
  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. -->

# hubert_new

This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0652
- Wer: 0.0332
- Cer: 0.0321

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 32.501        | 1.0   | 26   | 30.2361         | 1.4946 | 1.4799 |
| 18.4587       | 2.0   | 52   | 10.7837         | 1.0    | 1.0    |
| 7.9821        | 3.0   | 78   | 4.0872          | 1.0    | 1.0    |
| 4.0414        | 4.0   | 104  | 3.4348          | 1.0    | 1.0    |
| 3.3351        | 5.0   | 130  | 3.2570          | 1.0    | 1.0    |
| 3.2641        | 6.0   | 156  | 3.2289          | 1.0    | 1.0    |
| 3.2492        | 7.0   | 182  | 3.1934          | 1.0    | 1.0    |
| 3.2815        | 8.0   | 208  | 3.1768          | 1.0    | 1.0    |
| 3.1516        | 9.0   | 234  | 3.1230          | 1.0    | 1.0    |
| 3.1305        | 10.0  | 260  | 3.0061          | 1.0    | 1.0    |
| 2.9981        | 11.0  | 286  | 2.8843          | 1.0    | 1.0    |
| 2.6928        | 12.0  | 312  | 2.4900          | 1.0    | 1.0    |
| 2.3977        | 13.0  | 338  | 2.0772          | 0.9470 | 0.9594 |
| 1.9738        | 14.0  | 364  | 1.5876          | 0.7353 | 0.7459 |
| 1.2899        | 15.0  | 390  | 0.9695          | 0.5152 | 0.5217 |
| 0.9936        | 16.0  | 416  | 0.5316          | 0.2774 | 0.2768 |
| 0.6417        | 17.0  | 442  | 0.2814          | 0.1217 | 0.1146 |
| 0.4256        | 18.0  | 468  | 0.1658          | 0.0645 | 0.0623 |
| 0.2974        | 19.0  | 494  | 0.1023          | 0.0435 | 0.0419 |
| 0.1767        | 20.0  | 520  | 0.0652          | 0.0332 | 0.0321 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1