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roberta-base_algorithm-dept
buiminhhien2k/roberta-base_algorithm-dept
roberta-base_algorithm-dept is a text classification model from buiminhhien2k. Use it when you need a label for a piece of text. 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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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 12, 2024
- SHA
- 4403445b
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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. -->
roberta-base_algorithm-dept
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3682
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8889 | 0.0588 | 50 | 0.6333 |
| 0.6473 | 0.1175 | 100 | 0.6382 |
| 0.6366 | 0.1763 | 150 | 0.5980 |
| 0.6096 | 0.2350 | 200 | 0.5917 |
| 0.5822 | 0.2938 | 250 | 0.5283 |
| 0.5294 | 0.3525 | 300 | 0.5007 |
| 0.5206 | 0.4113 | 350 | 0.4820 |
| 0.5279 | 0.4700 | 400 | 0.4569 |
| 0.5131 | 0.5288 | 450 | 0.4535 |
| 0.5239 | 0.5875 | 500 | 0.4615 |
| 0.4498 | 0.6463 | 550 | 0.4414 |
| 0.397 | 0.7051 | 600 | 0.4752 |
| 0.3985 | 0.7638 | 650 | 0.4178 |
| 0.4149 | 0.8226 | 700 | 0.4038 |
| 0.4588 | 0.8813 | 750 | 0.4175 |
| 0.3975 | 0.9401 | 800 | 0.4950 |
| 0.4089 | 0.9988 | 850 | 0.4144 |
| 0.3342 | 1.0576 | 900 | 0.4208 |
| 0.3696 | 1.1163 | 950 | 0.4182 |
| 0.3522 | 1.1751 | 1000 | 0.3990 |
| 0.3479 | 1.2338 | 1050 | 0.3977 |
| 0.3549 | 1.2926 | 1100 | 0.3849 |
| 0.3134 | 1.3514 | 1150 | 0.4000 |
| 0.3554 | 1.4101 | 1200 | 0.3850 |
| 0.3275 | 1.4689 | 1250 | 0.3698 |
| 0.3887 | 1.5276 | 1300 | 0.3659 |
| 0.314 | 1.5864 | 1350 | 0.3736 |
| 0.3408 | 1.6451 | 1400 | 0.3792 |
| 0.3259 | 1.7039 | 1450 | 0.3735 |
| 0.3127 | 1.7626 | 1500 | 0.3682 |
| 0.3493 | 1.8214 | 1550 | 0.3540 |
| 0.3224 | 1.8801 | 1600 | 0.3721 |
| 0.3145 | 1.9389 | 1650 | 0.3610 |
| 0.2975 | 1.9976 | 1700 | 0.3500 |
| 0.2481 | 2.0564 | 1750 | 0.3621 |
| 0.2421 | 2.1152 | 1800 | 0.3782 |
| 0.2614 | 2.1739 | 1850 | 0.3787 |
| 0.2476 | 2.2327 | 1900 | 0.3807 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 4, 2024
- Updated
- Dec 12, 2024