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distilbert-base-uncased-finetuned-depi
mariamZaid/distilbert-base-uncased-finetuned-depi
distilbert-base-uncased-finetuned-depi is a machine learning model from mariamZaid. 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
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 4cfc0a36
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-finetuned-depi
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: 0.1754
- Accuracy: 0.932
- F1: 0.9322
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6456 | 1.0 | 500 | 0.2380 | 0.9175 | 0.9186 |
| 0.1783 | 2.0 | 1000 | 0.1754 | 0.932 | 0.9322 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024