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my_distilbert_model
Debmalya/my_distilbert_model
my_distilbert_model is a machine learning model from Debmalya. 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 16, 2024
- Updated
- Aug 17, 2024
- SHA
- b0b46c8b
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. -->
my_distilbert_model
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: 0.4847
- Accuracy: 0.8462
- F1: 0.8461
- Precision: 0.8464
- Recall: 0.8462
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4118 | 1.0 | 534 | 0.4174 | 0.8180 | 0.8151 | 0.8395 | 0.8180 |
| 0.2549 | 2.0 | 1068 | 0.3921 | 0.8499 | 0.8498 | 0.8509 | 0.8499 |
| 0.161 | 3.0 | 1602 | 0.4847 | 0.8462 | 0.8461 | 0.8464 | 0.8462 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 16, 2024
- Updated
- Aug 17, 2024