metadata
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-amharic
results: []
hubert-amharic
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: 0.1964
- Accuracy: 0.9535
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5372 | 2.0202 | 500 | 0.3764 | 0.8929 |
| 0.2254 | 4.0404 | 1000 | 0.3798 | 0.9111 |
| 0.1699 | 6.0606 | 1500 | 0.1964 | 0.9535 |
| 0.1245 | 8.0808 | 2000 | 0.2290 | 0.9596 |
| 0.0597 | 10.1010 | 2500 | 0.2243 | 0.9636 |
| 0.0816 | 12.1212 | 3000 | 0.2717 | 0.9556 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1