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t5-absa-plusplus-atsc
tomvoelker/t5-absa-plusplus-atsc
t5-absa-plusplus-atsc is a machine learning model from tomvoelker. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- ce9c8beb
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. -->
t5-absa-plusplus-atsc
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4055
- F1: 58.38
- Precision: 57.62
- Recall: 59.15
- N Tp: 223
- N Pred: 387
- N Gold: 377
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 26
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | N Tp | N Pred | N Gold |
|---|---|---|---|---|---|---|---|---|---|
| 0.6296 | 4.3860 | 500 | 0.3825 | 53.96 | 54.62 | 53.32 | 201 | 368 | 377 |
| 0.3482 | 8.7719 | 1000 | 0.4051 | 58.27 | 57.66 | 58.89 | 222 | 385 | 377 |
| 0.3542 | 10.0 | 1140 | 0.4055 | 58.38 | 57.62 | 59.15 | 223 | 387 | 377 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026