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2-1-2-emoticons-haiku-v130
Lyubka/2-1-2-emoticons-haiku-v130
2-1-2-emoticons-haiku-v130 is a text classification model from Lyubka. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 3, 2026
- Updated
- Jul 3, 2026
- SHA
- 97fb3d29
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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. -->
2-1-2-emoticons-haiku-v130
This model is a fine-tuned version of Lyubka/2-1-2-emoticons on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8097
- Accuracy: 0.5820
- Recall Neg: 0.7576
- Recall Neu: 0.7940
- Recall Pos: 0.2552
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch_fused 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: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall Neg | Recall Neu | Recall Pos |
|---|---|---|---|---|---|---|---|
| 0.9859 | 1.0 | 254 | 0.8382 | 0.5455 | 0.6553 | 0.7608 | 0.2671 |
| 0.8644 | 2.0 | 508 | 0.8097 | 0.5820 | 0.7576 | 0.7940 | 0.2552 |
| 0.8460 | 3.0 | 762 | 0.7992 | 0.5676 | 0.7765 | 0.7475 | 0.2433 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 3, 2026
- Updated
- Jul 3, 2026