---
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-finetuned-animals
  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-finetuned-animals

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: 0.5596
- Accuracy: 0.95

## 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_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1934        | 1.0   | 45   | 2.1765          | 0.3      |
| 2.0239        | 2.0   | 90   | 1.8169          | 0.45     |
| 1.7745        | 3.0   | 135  | 1.4817          | 0.65     |
| 1.3787        | 4.0   | 180  | 1.2497          | 0.75     |
| 1.2168        | 5.0   | 225  | 1.0048          | 0.85     |
| 1.0359        | 6.0   | 270  | 0.9969          | 0.775    |
| 0.7983        | 7.0   | 315  | 0.7467          | 0.9      |
| 0.7466        | 8.0   | 360  | 0.7698          | 0.85     |
| 0.6284        | 9.0   | 405  | 0.6097          | 0.9      |
| 0.8365        | 10.0  | 450  | 0.5596          | 0.95     |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3