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STL-ethiollm-l-250K-sentiment
tadiecool29/STL-ethiollm-l-250K-sentiment
STL-ethiollm-l-250K-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 Sep 1, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- 426898d0
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. -->
STL-ethiollm-l-250K-sentiment
This model is a fine-tuned version of EthioNLP/EthioLLM-l-250K on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1001
- Sentiment Precision: 0.6750
- Sentiment Recall: 0.6760
- F1: 0.6753
- Sentiment Acc: 0.6808
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sentiment Precision | Sentiment Recall | F1 | Sentiment Acc |
|---|---|---|---|---|---|---|---|
| 1.0378 | 1.0 | 377 | 0.9090 | 0.6226 | 0.5577 | 0.5294 | 0.5723 |
| 0.8630 | 2.0 | 754 | 0.7604 | 0.6713 | 0.6602 | 0.6525 | 0.6584 |
| 0.7310 | 3.0 | 1131 | 0.7672 | 0.6882 | 0.6829 | 0.6842 | 0.6895 |
| 0.5308 | 4.0 | 1508 | 0.8148 | 0.6982 | 0.6959 | 0.6967 | 0.7007 |
| 0.4739 | 5.0 | 1885 | 0.8490 | 0.6759 | 0.6762 | 0.6709 | 0.6833 |
| 0.3708 | 6.0 | 2262 | 0.9639 | 0.6731 | 0.6702 | 0.6707 | 0.6733 |
| 0.2866 | 7.0 | 2639 | 1.1001 | 0.6750 | 0.6760 | 0.6753 | 0.6808 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.23.1
- Library
- transformers
- License
- mit
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026