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roberta-finetuned-ner-nergrit-8H-light
mufathurrohman/roberta-finetuned-ner-nergrit-8H-light
roberta-finetuned-ner-nergrit-8H-light is a machine learning model from mufathurrohman. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024
- SHA
- a97a61ab
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. -->
roberta-finetuned-ner-nergrit-8H-light
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the nergrit dataset. It achieves the following results on the evaluation set:
- Loss: 0.1130
- Precision: 0.9810
- Recall: 0.9811
- F1: 0.9810
- Accuracy: 0.9773
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.9994 | 392 | 0.1196 | 0.9793 | 0.9800 | 0.9796 | 0.9757 |
| 0.1919 | 1.9987 | 784 | 0.1048 | 0.9810 | 0.9814 | 0.9812 | 0.9775 |
| 0.0823 | 2.9981 | 1176 | 0.1130 | 0.9810 | 0.9811 | 0.9810 | 0.9773 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024