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FOCALtrain
V12X-ksr/FOCALtrain
FOCALtrain is a text classification model from V12X-ksr. 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
- Nov 16, 2023
- Updated
- Feb 14, 2024
- SHA
- 79cccb17
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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. -->
FOCALtrain
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2758
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3121 | 1.0 | 474 | 1.3494 |
| 0.9964 | 2.0 | 948 | 1.3077 |
| 1.0453 | 3.0 | 1422 | 1.2758 |
| 0.6379 | 4.0 | 1896 | 1.5232 |
| 0.765 | 5.0 | 2370 | 1.5891 |
| 0.2287 | 6.0 | 2844 | 2.2163 |
| 0.1243 | 7.0 | 3318 | 2.5331 |
| 0.1699 | 8.0 | 3792 | 2.7521 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 16, 2023
- Updated
- Feb 14, 2024