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hubert-classifier-aug
fydhfzh/hubert-classifier-aug
hubert-classifier-aug is a audio classification model from fydhfzh. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Jul 23, 2024
- SHA
- cf959bae
Base models
Model card
From the Hugging Face model README
<!-- 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-classifier-aug
This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4217
- Accuracy: 0.0135
- Precision: 0.0002
- Recall: 0.0135
- F1: 0.0004
- Binary: 0.1334
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
|---|---|---|---|---|---|---|---|---|
| No log | 0.19 | 50 | 4.4268 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1315 |
| No log | 0.38 | 100 | 4.4280 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1261 |
| No log | 0.58 | 150 | 4.4240 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| No log | 0.77 | 200 | 4.4235 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1353 |
| No log | 0.96 | 250 | 4.4229 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1353 |
| No log | 1.15 | 300 | 4.4210 | 0.0162 | 0.0003 | 0.0162 | 0.0005 | 0.1280 |
| No log | 1.34 | 350 | 4.4216 | 0.0162 | 0.0003 | 0.0162 | 0.0005 | 0.1280 |
| No log | 1.53 | 400 | 4.4225 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| No log | 1.73 | 450 | 4.4229 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1353 |
| 4.4254 | 1.92 | 500 | 4.4217 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| 4.4254 | 2.11 | 550 | 4.4214 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| 4.4254 | 2.3 | 600 | 4.4213 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1315 |
| 4.4254 | 2.49 | 650 | 4.4213 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1261 |
| 4.4254 | 2.68 | 700 | 4.4228 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| 4.4254 | 2.88 | 750 | 4.4209 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1334 |
| 4.4254 | 3.07 | 800 | 4.4210 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1261 |
| 4.4254 | 3.26 | 850 | 4.4216 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1315 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.15.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Jul 23, 2024