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ethiollm-stl-Lfinetuned-sentiment
tadiecool29/ethiollm-stl-Lfinetuned-sentiment
ethiollm-stl-Lfinetuned-sentiment is a machine learning model from tadiecool29. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Aug 26, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026
- SHA
- 0ca96f4d
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. -->
ethiollm-stl-Lfinetuned-sentiment
This model is a fine-tuned version of EthioNLP/EthioLLM-l-250K on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8165
- Sentiment Precision: 0.6840
- Sentiment Recall: 0.6852
- F1: 0.6829
- Sentiment Acc: 0.6908
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: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sentiment Precision | Sentiment Recall | F1 | Sentiment Acc |
|---|---|---|---|---|---|---|---|
| 0.9629 | 1.0 | 402 | 0.9275 | 0.6173 | 0.5624 | 0.5384 | 0.5536 |
| 0.8526 | 2.0 | 804 | 0.7771 | 0.6525 | 0.6491 | 0.6497 | 0.6521 |
| 0.7338 | 3.0 | 1206 | 0.8059 | 0.6942 | 0.6634 | 0.6510 | 0.6746 |
| 0.5979 | 4.0 | 1608 | 0.7779 | 0.6861 | 0.6808 | 0.6821 | 0.6858 |
| 0.5117 | 5.0 | 2010 | 0.8065 | 0.6902 | 0.6906 | 0.6885 | 0.6970 |
| 0.4522 | 6.0 | 2412 | 0.8165 | 0.6840 | 0.6852 | 0.6829 | 0.6908 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- mit
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026