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license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: superb_ks_42
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: superb
type: superb
config: ks
split: validation
args: ks
metrics:
- name: Accuracy
type: accuracy
value: 0.6209179170344219
---
<!-- 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. -->
# superb_ks_42
This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the superb dataset.
It achieves the following results on the evaluation set:
- Loss: -7.5697
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1331
- Unlearn Overall Accuracy: 0.7439
- Unlearn Time: 811.1616
## 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: 32
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:|
| No log | 1.0 | 96 | -7.5697 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 2.0 | 192 | -16.0056 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 3.0 | 288 | -25.2304 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 4.0 | 384 | -35.0470 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 5.0 | 480 | -44.8008 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 6.0 | 576 | -53.8368 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 7.0 | 672 | -61.5362 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 8.0 | 768 | -67.4056 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 9.0 | 864 | -71.0815 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 10.0 | 960 | -72.3418 | 0.1331 | 0.7439 | 0.7439 | -1 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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