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MTL-ethiollm-base-stance-sentiment
tadiecool29/MTL-ethiollm-base-stance-sentiment
MTL-ethiollm-base-stance-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 27, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- 9192552c
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. -->
MTL-ethiollm-base-stance-sentiment
This model is a fine-tuned version of EthioNLP/EthioLLM-b-250K on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6326
- Stance F1: 0.6951
- Sentiment F1: 0.6576
- F1: 0.6764
- Stance Acc: 0.6883
- Sentiment Acc: 0.6608
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 | Stance F1 | Sentiment F1 | F1 | Stance Acc | Sentiment Acc |
|---|---|---|---|---|---|---|---|---|
| 2.0838 | 1.0 | 402 | 1.9190 | 0.5955 | 0.5661 | 0.5808 | 0.5873 | 0.5798 |
| 1.7101 | 2.0 | 804 | 1.7870 | 0.6375 | 0.5889 | 0.6132 | 0.6309 | 0.5910 |
| 1.4624 | 3.0 | 1206 | 1.6044 | 0.6939 | 0.6459 | 0.6699 | 0.6883 | 0.6509 |
| 1.3677 | 4.0 | 1608 | 1.5782 | 0.7010 | 0.6598 | 0.6804 | 0.6958 | 0.6633 |
| 1.2595 | 5.0 | 2010 | 1.6118 | 0.6982 | 0.6614 | 0.6798 | 0.6920 | 0.6633 |
| 1.1773 | 6.0 | 2412 | 1.6326 | 0.6951 | 0.6576 | 0.6764 | 0.6883 | 0.6608 |
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 27, 2026
- Updated
- Aug 27, 2026