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

# ckpts

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: 0.2847
- Accuracy: 0.9394

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.4293        | 2.2422  | 500  | 0.4459          | 0.8788   |
| 0.2063        | 4.4843  | 1000 | 0.2847          | 0.9394   |
| 0.1392        | 6.7265  | 1500 | 0.3088          | 0.9394   |
| 0.1434        | 8.9686  | 2000 | 0.3495          | 0.9444   |
| 0.097         | 11.2108 | 2500 | 0.3493          | 0.9394   |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2