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scenario-TCR_data-cl-cardiff_cl_only1
haryoaw/scenario-TCR_data-cl-cardiff_cl_only1
scenario-TCR_data-cl-cardiff_cl_only1 is a text classification model from haryoaw. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- 859d219c
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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. -->
scenario-TCR_data-cl-cardiff_cl_only1
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6766
- Accuracy: 0.5077
- F1: 0.5080
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 112
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.09 | 250 | 1.0916 | 0.5062 | 0.5083 |
| 0.9115 | 2.17 | 500 | 1.1929 | 0.5031 | 0.5019 |
| 0.9115 | 3.26 | 750 | 1.2608 | 0.5077 | 0.5074 |
| 0.5614 | 4.35 | 1000 | 1.7305 | 0.5062 | 0.4996 |
| 0.5614 | 5.43 | 1250 | 1.9217 | 0.5108 | 0.5104 |
| 0.2935 | 6.52 | 1500 | 1.9631 | 0.5116 | 0.5097 |
| 0.2935 | 7.61 | 1750 | 2.2019 | 0.4900 | 0.4880 |
| 0.1741 | 8.7 | 2000 | 3.0038 | 0.4961 | 0.4934 |
| 0.1741 | 9.78 | 2250 | 2.8681 | 0.4869 | 0.4878 |
| 0.1225 | 10.87 | 2500 | 3.2569 | 0.4907 | 0.4917 |
| 0.1225 | 11.96 | 2750 | 3.2315 | 0.4853 | 0.4854 |
| 0.0918 | 13.04 | 3000 | 3.1706 | 0.4915 | 0.4924 |
| 0.0918 | 14.13 | 3250 | 3.4457 | 0.4799 | 0.4754 |
| 0.0622 | 15.22 | 3500 | 3.8112 | 0.4977 | 0.4982 |
| 0.0622 | 16.3 | 3750 | 3.7257 | 0.5069 | 0.5081 |
| 0.0425 | 17.39 | 4000 | 3.9484 | 0.5069 | 0.5085 |
| 0.0425 | 18.48 | 4250 | 4.0832 | 0.5100 | 0.5095 |
| 0.0251 | 19.57 | 4500 | 4.2009 | 0.5170 | 0.5169 |
| 0.0251 | 20.65 | 4750 | 4.5054 | 0.4961 | 0.4926 |
| 0.0205 | 21.74 | 5000 | 4.5404 | 0.5062 | 0.5064 |
| 0.0205 | 22.83 | 5250 | 4.7252 | 0.4977 | 0.4977 |
| 0.0159 | 23.91 | 5500 | 4.7574 | 0.5046 | 0.5020 |
| 0.0159 | 25.0 | 5750 | 4.7681 | 0.5062 | 0.5074 |
| 0.0112 | 26.09 | 6000 | 4.6950 | 0.5 | 0.4984 |
| 0.0112 | 27.17 | 6250 | 4.8415 | 0.4931 | 0.4901 |
| 0.0097 | 28.26 | 6500 | 4.6840 | 0.5031 | 0.5032 |
| 0.0097 | 29.35 | 6750 | 4.6766 | 0.5077 | 0.5080 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024