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RoBERTa_token_classification_AraiEval24_Eng_multi_fixed
MM2157/RoBERTa_token_classification_AraiEval24_Eng_multi_fixed
RoBERTa_token_classification_AraiEval24_Eng_multi_fixed is a machine learning model from MM2157. 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
- roberta
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 70c8ac8b
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_token_classification_AraiEval24_Eng_multi_fixed
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3528
- Precision: 0.1694
- Recall: 0.0957
- F1: 0.1223
- Accuracy: 0.7126
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.0898 | 1.0 | 1022 | 1.1793 | 0.2285 | 0.0330 | 0.0576 | 0.7455 |
| 0.9289 | 2.0 | 2044 | 1.1252 | 0.2561 | 0.0411 | 0.0709 | 0.7456 |
| 0.8498 | 3.0 | 3066 | 1.1511 | 0.1700 | 0.0803 | 0.1091 | 0.7260 |
| 0.7549 | 4.0 | 4088 | 1.1895 | 0.1826 | 0.0781 | 0.1094 | 0.7181 |
| 0.6549 | 5.0 | 5110 | 1.2047 | 0.1677 | 0.0823 | 0.1104 | 0.7229 |
| 0.5851 | 6.0 | 6132 | 1.2073 | 0.1728 | 0.0852 | 0.1142 | 0.7144 |
| 0.532 | 7.0 | 7154 | 1.2623 | 0.1690 | 0.0888 | 0.1165 | 0.7151 |
| 0.4704 | 8.0 | 8176 | 1.3120 | 0.1808 | 0.0908 | 0.1209 | 0.7193 |
| 0.4369 | 9.0 | 9198 | 1.3354 | 0.1621 | 0.0934 | 0.1185 | 0.7116 |
| 0.3969 | 10.0 | 10220 | 1.3528 | 0.1694 | 0.0957 | 0.1223 | 0.7126 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- roberta
- License
- mit
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024