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Model3_Marabertv2_T2_WS_A100
SMG0/Model3_Marabertv2_T2_WS_A100
Model3_Marabertv2_T2_WS_A100 is a text classification model from SMG0. 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
- Aug 15, 2023
- Updated
- Aug 15, 2023
- SHA
- 1aba1493
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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. -->
Model3_Marabertv2_T2_WS_A100
This model is a fine-tuned version of UBC-NLP/MARBERTv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0795
- F1: 0.8271
- Roc Auc: 0.9092
- Accuracy: 0.7430
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 193 | 0.1589 | 0.5089 | 0.6835 | 0.3687 |
| No log | 2.0 | 386 | 0.1122 | 0.6879 | 0.7800 | 0.5680 |
| 0.1646 | 3.0 | 579 | 0.0932 | 0.7846 | 0.8623 | 0.6816 |
| 0.1646 | 4.0 | 772 | 0.0793 | 0.8138 | 0.8823 | 0.7318 |
| 0.1646 | 5.0 | 965 | 0.0916 | 0.7893 | 0.8787 | 0.6965 |
| 0.0598 | 6.0 | 1158 | 0.0739 | 0.8251 | 0.8935 | 0.7318 |
| 0.0598 | 7.0 | 1351 | 0.0752 | 0.8257 | 0.9002 | 0.7393 |
| 0.0266 | 8.0 | 1544 | 0.0800 | 0.8350 | 0.9128 | 0.7467 |
| 0.0266 | 9.0 | 1737 | 0.0810 | 0.8295 | 0.9123 | 0.7430 |
| 0.0266 | 10.0 | 1930 | 0.0795 | 0.8271 | 0.9092 | 0.7430 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023