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7k-PhoContent-10304
ace-in-the-hole/7k-PhoContent-10304
7k-PhoContent-10304 is a text classification model from ace-in-the-hole. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as agpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024
- SHA
- 1184f54b
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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. -->
7k-PhoContent-10304
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2320
- Accuracy: 0.9419
- F1: 0.9150
- Precision: 0.9233
- Recall: 0.9074
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7443 | 2.6144 | 100 | 0.2005 | 0.9360 | 0.9056 | 0.9183 | 0.8945 |
| 0.348 | 5.2288 | 200 | 0.2175 | 0.9360 | 0.9024 | 0.9329 | 0.8792 |
| 0.348 | 7.8431 | 300 | 0.1926 | 0.9419 | 0.9128 | 0.9342 | 0.8952 |
| 0.1555 | 10.4575 | 400 | 0.2010 | 0.9457 | 0.9197 | 0.9344 | 0.9069 |
| 0.0984 | 13.0719 | 500 | 0.2211 | 0.9302 | 0.8967 | 0.9106 | 0.8846 |
| 0.0984 | 15.6863 | 600 | 0.2338 | 0.9322 | 0.8999 | 0.9124 | 0.8889 |
| 0.065 | 18.3007 | 700 | 0.2320 | 0.9419 | 0.9150 | 0.9233 | 0.9074 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024