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RoBERTa_token_classification_AraiEval24_Eng_multi
MM2157/RoBERTa_token_classification_AraiEval24_Eng_multi
RoBERTa_token_classification_AraiEval24_Eng_multi 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
- Sep 18, 2024
- Updated
- Sep 18, 2024
- SHA
- dd67986c
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
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3465
- Precision: 0.1454
- Recall: 0.0813
- F1: 0.1043
- Accuracy: 0.7143
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 |
|---|---|---|---|---|---|---|---|
| 1.0794 | 1.0 | 1022 | 1.1888 | 0.1440 | 0.0203 | 0.0356 | 0.7435 |
| 0.9242 | 2.0 | 2044 | 1.1341 | 0.1719 | 0.0313 | 0.0529 | 0.7451 |
| 0.8462 | 3.0 | 3066 | 1.1380 | 0.1444 | 0.0606 | 0.0853 | 0.7282 |
| 0.7496 | 4.0 | 4088 | 1.1755 | 0.1349 | 0.0535 | 0.0766 | 0.7219 |
| 0.6526 | 5.0 | 5110 | 1.2087 | 0.1337 | 0.0649 | 0.0873 | 0.7270 |
| 0.5841 | 6.0 | 6132 | 1.2208 | 0.1323 | 0.0676 | 0.0895 | 0.7178 |
| 0.5311 | 7.0 | 7154 | 1.2532 | 0.1345 | 0.0801 | 0.1004 | 0.7088 |
| 0.4749 | 8.0 | 8176 | 1.3047 | 0.1459 | 0.0727 | 0.0970 | 0.7184 |
| 0.4393 | 9.0 | 9198 | 1.3341 | 0.1473 | 0.0801 | 0.1038 | 0.7187 |
| 0.4015 | 10.0 | 10220 | 1.3465 | 0.1454 | 0.0813 | 0.1043 | 0.7143 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- roberta
- License
- mit
- Created
- Sep 18, 2024
- Updated
- Sep 18, 2024