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distilbert-base-uncased_emotion_ft_0812
Xunhaoz/distilbert-base-uncased_emotion_ft_0812
distilbert-base-uncased_emotion_ft_0812 is a machine learning model from Xunhaoz. 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
- Aug 12, 2024
- Updated
- Aug 12, 2024
- SHA
- e0c1935a
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_0812
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: 0.1459
- Accuracy: 0.935
- F1: 0.9352
- Precision: 0.9054
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 |
|---|---|---|---|---|---|---|
| 0.8102 | 1.0 | 250 | 0.2586 | 0.92 | 0.9206 | 0.8843 |
| 0.2054 | 2.0 | 500 | 0.1695 | 0.933 | 0.9329 | 0.9083 |
| 0.1339 | 3.0 | 750 | 0.1517 | 0.9355 | 0.9361 | 0.9011 |
| 0.1093 | 4.0 | 1000 | 0.1459 | 0.935 | 0.9352 | 0.9054 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 12, 2024
- Updated
- Aug 12, 2024