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twitter_ft_model_mb
Shreyas1/twitter_ft_model_mb
twitter_ft_model_mb is a text classification model from Shreyas1. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Dec 28, 2025
- Updated
- Dec 28, 2025
- SHA
- 064031c6
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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. -->
twitter_ft_model_mb
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2992
- Accuracy: 0.8635
- F1: 0.8714
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: 4e-05
- train_batch_size: 256
- eval_batch_size: 256
- 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_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5267 | 0.2020 | 79 | 0.3252 | 0.8468 | 0.8615 |
| 0.3732 | 0.4041 | 158 | 0.2992 | 0.8635 | 0.8714 |
| 0.3478 | 0.6061 | 237 | 0.2954 | 0.8496 | 0.8541 |
| 0.3275 | 0.8082 | 316 | 0.3133 | 0.8440 | 0.8542 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Dec 28, 2025
- Updated
- Dec 28, 2025