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2404v6
adriansanz/2404v6
2404v6 is a text classification model from adriansanz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024
- SHA
- f5550ab5
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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. -->
2404v6
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5939
- Accuracy: 0.8445
- Precision: 0.8451
- Recall: 0.8445
- F1: 0.8445
- Ratio: 0.4790
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- lr_scheduler_warmup_steps: 4
- num_epochs: 2
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
|---|---|---|---|---|---|---|---|---|
| 0.5731 | 0.2597 | 10 | 0.5646 | 0.8613 | 0.8645 | 0.8613 | 0.8610 | 0.4538 |
| 0.5515 | 0.5195 | 20 | 0.5569 | 0.8613 | 0.8626 | 0.8613 | 0.8612 | 0.4706 |
| 0.5164 | 0.7792 | 30 | 0.6079 | 0.8277 | 0.8363 | 0.8277 | 0.8266 | 0.5798 |
| 0.5641 | 1.0390 | 40 | 0.5728 | 0.8571 | 0.8608 | 0.8571 | 0.8568 | 0.4496 |
| 0.4665 | 1.2987 | 50 | 0.5992 | 0.8403 | 0.8407 | 0.8403 | 0.8403 | 0.5168 |
| 0.4632 | 1.5584 | 60 | 0.5990 | 0.8613 | 0.8634 | 0.8613 | 0.8611 | 0.4622 |
| 0.4456 | 1.8182 | 70 | 0.5939 | 0.8445 | 0.8451 | 0.8445 | 0.8445 | 0.4790 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024