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roberta-base_chatgpt
fahrialfiansyah/roberta-base_chatgpt
roberta-base_chatgpt is a text classification model from fahrialfiansyah. 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
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- daff416f
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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_chatgpt
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7862
- Accuracy: 0.7510
- F1: 0.6314
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.5904 | 1.0 | 50 | 1.5880 | 0.32 | 0.0970 |
| 1.5354 | 2.0 | 100 | 1.5114 | 0.32 | 0.0970 |
| 0.9668 | 3.0 | 150 | 0.7104 | 0.85 | 0.8519 |
| 0.3638 | 4.0 | 200 | 0.5161 | 0.86 | 0.8730 |
| 0.2805 | 5.0 | 250 | 0.5552 | 0.86 | 0.8659 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0a0+b5021ba
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024