metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: amiriparian/ExHuBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ExHubert_fine-tuned
results: []
ExHubert_fine-tuned
This model is a fine-tuned version of amiriparian/ExHuBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2999
- Accuracy: 0.9020
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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5965 | 1.0 | 64 | 0.5377 | 0.7529 |
| 0.5591 | 2.0 | 128 | 0.4485 | 0.8275 |
| 0.3059 | 3.0 | 192 | 0.3561 | 0.8549 |
| 0.1571 | 4.0 | 256 | 0.3269 | 0.8941 |
| 0.1307 | 5.0 | 320 | 0.2999 | 0.9020 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0