---
library_name: transformers
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bs16-lr2e-5-epoch10-seqlen10
  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. -->

# bs16-lr2e-5-epoch10-seqlen10

This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6936
- Accuracy: 0.6167

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 1016
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.1254        | 1.0   | 8648  | 6.3700          | 0.0055   |
| 4.5846        | 2.0   | 17296 | 5.1543          | 0.0521   |
| 3.6412        | 3.0   | 25944 | 4.2039          | 0.1302   |
| 2.6422        | 4.0   | 34592 | 3.4738          | 0.2416   |
| 1.9601        | 5.0   | 43240 | 2.7758          | 0.3746   |
| 1.564         | 6.0   | 51888 | 2.3559          | 0.4623   |
| 1.2376        | 7.0   | 60536 | 2.0383          | 0.5352   |
| 1.0652        | 8.0   | 69184 | 1.8766          | 0.5666   |
| 0.9146        | 9.0   | 77832 | 1.7436          | 0.6059   |
| 0.8688        | 10.0  | 86480 | 1.6936          | 0.6167   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.0.0+cu117
- Datasets 3.1.0
- Tokenizers 0.20.3