---
base_model: facebook/hubert-base-ls960
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: hubert1
  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. -->

# hubert1

This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5840
- Wer: 1.0

## 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: 0.0001
- train_batch_size: 4
- 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: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 8.3756        | 0.6821 | 500  | 5.6168          | 1.0 |
| 4.8753        | 1.3643 | 1000 | 3.5609          | 1.0 |
| 4.1974        | 2.0464 | 1500 | 3.5191          | 1.0 |
| 3.9847        | 2.7285 | 2000 | 3.5168          | 1.0 |
| 3.9535        | 3.4106 | 2500 | 3.6024          | 1.0 |
| 3.8797        | 4.0928 | 3000 | 3.4174          | 1.0 |
| 3.935         | 4.7749 | 3500 | 3.5542          | 1.0 |
| 3.7183        | 5.4570 | 4000 | 3.5183          | 1.0 |
| 3.7562        | 6.1392 | 4500 | 3.5689          | 1.0 |
| 3.7423        | 6.8213 | 5000 | 3.5840          | 1.0 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1