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MTL-amroberta-finetuned
tadiecool29/MTL-amroberta-finetuned
MTL-amroberta-finetuned 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 30, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026
- SHA
- bf058584
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-amroberta-finetuned
This model is a fine-tuned version of uhhlt/am-roberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6274
- Stance F1: 0.7381
- Sentiment F1: 0.6804
- F1: 0.7092
- Stance Acc: 0.7269
- Sentiment Acc: 0.6870
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 | Stance F1 | Sentiment F1 | F1 | Stance Acc | Sentiment Acc |
|---|---|---|---|---|---|---|---|---|
| 1.7405 | 1.0 | 377 | 1.5961 | 0.6525 | 0.6702 | 0.6613 | 0.6446 | 0.6771 |
| 1.3386 | 2.0 | 754 | 1.4527 | 0.7023 | 0.6706 | 0.6864 | 0.6933 | 0.6820 |
| 1.1046 | 3.0 | 1131 | 1.4365 | 0.7172 | 0.6804 | 0.6988 | 0.7070 | 0.6883 |
| 0.8845 | 4.0 | 1508 | 1.4615 | 0.7259 | 0.6901 | 0.7080 | 0.7157 | 0.6958 |
| 0.8033 | 5.0 | 1885 | 1.5284 | 0.7425 | 0.6823 | 0.7124 | 0.7344 | 0.6883 |
| 0.6945 | 6.0 | 2262 | 1.5812 | 0.7405 | 0.6805 | 0.7105 | 0.7319 | 0.6870 |
| 0.5849 | 7.0 | 2639 | 1.6060 | 0.7348 | 0.6807 | 0.7078 | 0.7232 | 0.6883 |
| 0.5630 | 8.0 | 3016 | 1.6274 | 0.7381 | 0.6804 | 0.7092 | 0.7269 | 0.6870 |
Framework versions
- Transformers 5.15.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- mit
- Created
- Aug 30, 2026
- Updated
- Aug 30, 2026