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scenario-TCR_data-cl-massive_all_1_1
haryoaw/scenario-TCR_data-cl-massive_all_1_1
scenario-TCR_data-cl-massive_all_1_1 is a text classification model from haryoaw. 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
- deberta-v2
- Access
- Public
- Created
- Jul 28, 2024
- Updated
- Jul 28, 2024
- SHA
- 085146b0
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Base models
Datasets
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. -->
scenario-TCR_data-cl-massive_all_1_1
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 1.3782
- Accuracy: 0.7991
- F1: 0.7565
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: 66
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4764 | 0.56 | 5000 | 0.9292 | 0.7898 | 0.7395 |
| 0.2624 | 1.11 | 10000 | 0.9850 | 0.7935 | 0.7392 |
| 0.2344 | 1.67 | 15000 | 1.0603 | 0.7976 | 0.7472 |
| 0.1556 | 2.22 | 20000 | 1.1387 | 0.7925 | 0.7431 |
| 0.1488 | 2.78 | 25000 | 1.1552 | 0.7960 | 0.7552 |
| 0.1048 | 3.33 | 30000 | 1.3310 | 0.7943 | 0.7452 |
| 0.101 | 3.89 | 35000 | 1.2902 | 0.7938 | 0.7516 |
| 0.0618 | 4.45 | 40000 | 1.3782 | 0.7991 | 0.7565 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jul 28, 2024
- Updated
- Jul 28, 2024