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RoBERTa_token_classification_AraiEval24_English
MM2157/RoBERTa_token_classification_AraiEval24_English
RoBERTa_token_classification_AraiEval24_English 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
- Aug 8, 2024
- Updated
- Aug 8, 2024
- SHA
- 1c5e2b63
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_English
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8393
- Precision: 0.1374
- Recall: 0.0930
- F1: 0.1109
- Accuracy: 0.8661
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 |
|---|---|---|---|---|---|---|---|
| 0.605 | 1.0 | 1663 | 0.5601 | 0.1510 | 0.0692 | 0.0949 | 0.8852 |
| 0.5125 | 2.0 | 3326 | 0.5726 | 0.1790 | 0.0763 | 0.1070 | 0.8866 |
| 0.4532 | 3.0 | 4989 | 0.5789 | 0.1677 | 0.0570 | 0.0851 | 0.8858 |
| 0.3582 | 4.0 | 6652 | 0.5918 | 0.1611 | 0.0826 | 0.1092 | 0.8809 |
| 0.3081 | 5.0 | 8315 | 0.6376 | 0.1607 | 0.1132 | 0.1328 | 0.8739 |
| 0.2458 | 6.0 | 9978 | 0.6857 | 0.1407 | 0.1027 | 0.1187 | 0.8624 |
| 0.2061 | 7.0 | 11641 | 0.7518 | 0.1405 | 0.0821 | 0.1037 | 0.8716 |
| 0.1732 | 8.0 | 13304 | 0.7770 | 0.1106 | 0.0842 | 0.0956 | 0.8640 |
| 0.1453 | 9.0 | 14967 | 0.8127 | 0.1456 | 0.0935 | 0.1138 | 0.8667 |
| 0.1302 | 10.0 | 16630 | 0.8393 | 0.1374 | 0.0930 | 0.1109 | 0.8661 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- roberta
- License
- mit
- Created
- Aug 8, 2024
- Updated
- Aug 8, 2024