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distilbert-base-uncased_emotion_ft_0416
nuaawqy/distilbert-base-uncased_emotion_ft_0416
distilbert-base-uncased_emotion_ft_0416 is a machine learning model from nuaawqy. 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
- Mar 11, 2025
- Updated
- Mar 12, 2025
- SHA
- 32b27231
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: 0.1548
- Accuracy: 0.9295
- F1: 0.9298
- Precision: 0.9008
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 |
|---|---|---|---|---|---|---|
| 0.104 | 1.0 | 250 | 0.1548 | 0.9295 | 0.9298 | 0.9008 |
| 0.1043 | 2.0 | 500 | 0.1548 | 0.9295 | 0.9298 | 0.9008 |
| 0.1055 | 3.0 | 750 | 0.1548 | 0.9295 | 0.9298 | 0.9008 |
| 0.1083 | 4.0 | 1000 | 0.1548 | 0.9295 | 0.9298 | 0.9008 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 3.1.0
- Tokenizers 0.13.3
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 11, 2025
- Updated
- Mar 12, 2025