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results_1
ikura31/results_1
results_1 is a machine learning model from ikura31. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024
- SHA
- c50691cd
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. -->
results_1
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9021
- Accuracy: 0.5208
- Precision: 0.5264
- Recall: 0.5208
- F1: 0.5209
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 24
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0903 | 1.0 | 120 | 1.1347 | 0.3333 | 0.4562 | 0.3333 | 0.2515 |
| 1.0362 | 2.0 | 240 | 1.1535 | 0.4125 | 0.4076 | 0.4125 | 0.3373 |
| 0.7914 | 3.0 | 360 | 1.2829 | 0.4417 | 0.4759 | 0.4417 | 0.4083 |
| 0.9578 | 4.0 | 480 | 1.2970 | 0.4542 | 0.4829 | 0.4542 | 0.4573 |
| 0.4566 | 5.0 | 600 | 1.8567 | 0.4708 | 0.5151 | 0.4708 | 0.4427 |
| 0.2706 | 6.0 | 720 | 2.2959 | 0.4875 | 0.5072 | 0.4875 | 0.4891 |
| 0.2104 | 7.0 | 840 | 2.3196 | 0.4958 | 0.4916 | 0.4958 | 0.4923 |
| 0.1874 | 8.0 | 960 | 2.8726 | 0.4667 | 0.4869 | 0.4667 | 0.4703 |
| 0.1814 | 9.0 | 1080 | 3.1062 | 0.4917 | 0.5477 | 0.4917 | 0.4825 |
| 0.1024 | 10.0 | 1200 | 3.3202 | 0.4792 | 0.4819 | 0.4792 | 0.4761 |
| 0.0608 | 11.0 | 1320 | 3.4888 | 0.5167 | 0.5326 | 0.5167 | 0.5180 |
| 0.0107 | 12.0 | 1440 | 3.5569 | 0.5042 | 0.5036 | 0.5042 | 0.5008 |
| 0.0003 | 13.0 | 1560 | 3.8422 | 0.5125 | 0.5316 | 0.5125 | 0.5070 |
| 0.0002 | 14.0 | 1680 | 3.8754 | 0.4958 | 0.5103 | 0.4958 | 0.4936 |
| 0.0002 | 15.0 | 1800 | 3.9021 | 0.5208 | 0.5264 | 0.5208 | 0.5209 |
| 0.0006 | 16.0 | 1920 | 4.2446 | 0.4833 | 0.4988 | 0.4833 | 0.4703 |
| 0.0001 | 17.0 | 2040 | 4.0457 | 0.4958 | 0.5034 | 0.4958 | 0.4945 |
| 0.0001 | 18.0 | 2160 | 4.1199 | 0.5167 | 0.5115 | 0.5167 | 0.5079 |
| 0.0001 | 19.0 | 2280 | 4.2421 | 0.5 | 0.5115 | 0.5 | 0.4939 |
| 0.0001 | 20.0 | 2400 | 4.3337 | 0.4958 | 0.5153 | 0.4958 | 0.4920 |
| 0.0001 | 21.0 | 2520 | 4.3489 | 0.4792 | 0.4921 | 0.4792 | 0.4756 |
| 0.0001 | 22.0 | 2640 | 4.3445 | 0.4833 | 0.4964 | 0.4833 | 0.4805 |
| 0.0001 | 23.0 | 2760 | 4.3644 | 0.4792 | 0.4921 | 0.4792 | 0.4756 |
| 0.0001 | 24.0 | 2880 | 4.3674 | 0.4833 | 0.4972 | 0.4833 | 0.4792 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 6, 2024
- Updated
- Nov 6, 2024