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distilbert-base-uncased_emotion_ft_0416
ms666888/distilbert-base-uncased_emotion_ft_0416
distilbert-base-uncased_emotion_ft_0416 is a machine learning model from ms666888. 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 14, 2024
- Updated
- Sep 18, 2024
- SHA
- fe3b3873
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. -->
distilbert-base-uncased_emotion_ft_0416
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: 0.1516
- Accuracy: 0.9365
- F1: 0.9364
- Precision: 0.9174
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.7947 | 1.0 | 250 | 0.2786 | 0.915 | 0.9153 | 0.8870 |
| 0.2139 | 2.0 | 500 | 0.1790 | 0.929 | 0.9298 | 0.8937 |
| 0.1434 | 3.0 | 750 | 0.1618 | 0.937 | 0.9373 | 0.9124 |
| 0.1122 | 4.0 | 1000 | 0.1516 | 0.9365 | 0.9364 | 0.9174 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.2.2
- Datasets 2.16.1
- Tokenizers 0.13.3
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 14, 2024
- Updated
- Sep 18, 2024