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distilbert-finetuning
theunmans/distilbert-finetuning
distilbert-finetuning is a machine learning model from theunmans. 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 6, 2024
- Updated
- Aug 13, 2024
- SHA
- 0216bbc7
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-finetuning
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7899
- Accuracy: 0.8078
- F1: 0.8069
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6237 | 1.0 | 65741 | 0.8881 | 0.7796 | 0.7739 |
| 1.3107 | 2.0 | 131482 | 0.8164 | 0.7995 | 0.7953 |
| 0.8264 | 3.0 | 197223 | 0.7899 | 0.8078 | 0.8069 |
| 0.4175 | 4.0 | 262964 | 0.8556 | 0.8130 | 0.8116 |
| 0.3076 | 5.0 | 328705 | 0.9789 | 0.8127 | 0.8116 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 6, 2024
- Updated
- Aug 13, 2024