metadata
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: superb_si_42
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: superb
type: superb
config: si
split: validation
args: si
metrics:
- name: Accuracy
type: accuracy
value: 0.2026361529548088
superb_si_42
This model is a fine-tuned version of facebook/hubert-large-ll60k on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 3.5572
- Accuracy: 0.2026
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: 4
- 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 |
|---|---|---|---|---|
| 6.9439 | 1.0 | 4324 | 7.0073 | 0.0019 |
| 5.7711 | 2.0 | 8648 | 5.9516 | 0.0101 |
| 5.3911 | 3.0 | 12972 | 5.6571 | 0.0167 |
| 4.9798 | 4.0 | 17296 | 5.1595 | 0.0365 |
| 4.577 | 5.0 | 21620 | 4.6393 | 0.0671 |
| 4.23 | 6.0 | 25944 | 4.2066 | 0.1057 |
| 3.8768 | 7.0 | 30268 | 3.8820 | 0.1564 |
| 3.6853 | 8.0 | 34592 | 3.6688 | 0.1811 |
| 3.5543 | 9.0 | 38916 | 3.5760 | 0.1973 |
| 3.4964 | 10.0 | 43240 | 3.5572 | 0.2026 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1