metadata
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-base960-agu-amharic
results: []
hubert-base960-agu-amharic
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: 0.3464
- Accuracy: 0.9148
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.502 | 0.6649 | 500 | 0.4584 | 0.8707 |
| 0.3239 | 1.3298 | 1000 | 0.3637 | 0.9013 |
| 0.2329 | 1.9947 | 1500 | 0.3464 | 0.9148 |
| 0.1768 | 2.6596 | 2000 | 0.4056 | 0.9126 |
| 0.1315 | 3.3245 | 2500 | 0.3803 | 0.9163 |
| 0.1383 | 3.9894 | 3000 | 0.3496 | 0.9297 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1