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distilbert-base-uncased-finetuned-emotion-epochs-10
Shaurya-Shsin/distilbert-base-uncased-finetuned-emotion-epochs-10
distilbert-base-uncased-finetuned-emotion-epochs-10 is a machine learning model from Shaurya-Shsin. 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
- Sep 16, 2024
- Updated
- Sep 17, 2024
- SHA
- 0aaf7ec5
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. -->
distilbert-base-uncased-finetuned-emotion-epochs-10
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1735
- Accuracy: 0.9365
- F1: 0.9366
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: 64
- eval_batch_size: 64
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7791 | 1.0 | 250 | 0.2546 | 0.9155 | 0.9139 |
| 0.2021 | 2.0 | 500 | 0.1690 | 0.9295 | 0.9294 |
| 0.1363 | 3.0 | 750 | 0.1464 | 0.9385 | 0.9391 |
| 0.1054 | 4.0 | 1000 | 0.1616 | 0.931 | 0.9309 |
| 0.0864 | 5.0 | 1250 | 0.1472 | 0.9365 | 0.9363 |
| 0.0698 | 6.0 | 1500 | 0.1443 | 0.9415 | 0.9414 |
| 0.0576 | 7.0 | 1750 | 0.1734 | 0.939 | 0.9393 |
| 0.0483 | 8.0 | 2000 | 0.1728 | 0.937 | 0.9374 |
| 0.0388 | 9.0 | 2250 | 0.1735 | 0.9365 | 0.9366 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 16, 2024
- Updated
- Sep 17, 2024