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conplag1_unixcoder_ep30_bs16_lr2e-05_l512_s42_ppy_loss
buelfhood/conplag1_unixcoder_ep30_bs16_lr2e-05_l512_s42_ppy_loss
conplag1_unixcoder_ep30_bs16_lr2e-05_l512_s42_ppy_loss is a text classification model from buelfhood. 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
- roberta
- Access
- Public
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025
- SHA
- 80cb945d
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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. -->
conplag1_unixcoder_ep30_bs16_lr2e-05_l512_s42_ppy_loss
This model is a fine-tuned version of microsoft/unixcoder-base-nine on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4185
- Accuracy: 0.8321
- Recall: 0.7895
- Precision: 0.6667
- F1: 0.7229
- F Beta Score: 0.7471
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | F Beta Score |
|---|---|---|---|---|---|---|---|---|
| 0.6172 | 1.0 | 40 | 0.4614 | 0.8248 | 0.6842 | 0.6842 | 0.6842 | 0.6842 |
| 0.5381 | 2.0 | 80 | 0.4185 | 0.8321 | 0.7895 | 0.6667 | 0.7229 | 0.7471 |
| 0.4683 | 3.0 | 120 | 0.6565 | 0.8248 | 0.4737 | 0.8182 | 0.6 | 0.5442 |
| 0.2038 | 4.0 | 160 | 0.5520 | 0.8248 | 0.6316 | 0.7059 | 0.6667 | 0.6527 |
| 0.1299 | 5.0 | 200 | 0.7147 | 0.8467 | 0.6316 | 0.7742 | 0.6957 | 0.6695 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.1.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025