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distilbert-base-uncased-Distilbert-Model
Enyonam/distilbert-base-uncased-Distilbert-Model
distilbert-base-uncased-Distilbert-Model is a text classification model from Enyonam. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Sep 6, 2023
- SHA
- ebbf0240
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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-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: 0.7410
- F1: 0.6801
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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.8395 | 0.5 | 500 | 0.7965 | 0.6520 |
| 0.791 | 1.0 | 1000 | 0.7410 | 0.6801 |
| 0.7135 | 1.5 | 1500 | 0.7452 | 0.6930 |
| 0.6608 | 2.01 | 2000 | 0.7610 | 0.7134 |
| 0.532 | 2.51 | 2500 | 0.8503 | 0.7098 |
| 0.5301 | 3.01 | 3000 | 0.8124 | 0.7221 |
| 0.3763 | 3.51 | 3500 | 1.0441 | 0.7053 |
| 0.4136 | 4.01 | 4000 | 1.2679 | 0.7001 |
| 0.2813 | 4.51 | 4500 | 1.5766 | 0.6999 |
| 0.2986 | 5.02 | 5000 | 1.5318 | 0.6963 |
| 0.2328 | 5.52 | 5500 | 1.6636 | 0.6934 |
| 0.2213 | 6.02 | 6000 | 1.5998 | 0.6954 |
| 0.1546 | 6.52 | 6500 | 1.8672 | 0.7111 |
| 0.1666 | 7.02 | 7000 | 1.7896 | 0.7017 |
| 0.1215 | 7.52 | 7500 | 2.0421 | 0.7032 |
| 0.1174 | 8.02 | 8000 | 2.0764 | 0.6985 |
| 0.0953 | 8.53 | 8500 | 2.2069 | 0.6934 |
| 0.0716 | 9.03 | 9000 | 2.2540 | 0.6918 |
| 0.0652 | 9.53 | 9500 | 2.2988 | 0.6932 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 1, 2023
- Updated
- Sep 6, 2023