metadata
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-finetuned-animals
results: []
hubert-finetuned-animals
This model is a fine-tuned version of 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