Downloads · 30 days
18
10% of all-time downloads
hubert-amharic
Gizachew/hubert-amharic
hubert-amharic is a machine learning model from Gizachew. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
182
Public
Parameters
95M
380 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors380 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- May 3, 2024
- Updated
- May 3, 2024
- SHA
- abfcce75
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
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
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- May 3, 2024
- Updated
- May 3, 2024