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distilbert-cased-sep-26
SmilestheSad/distilbert-cased-sep-26
distilbert-cased-sep-26 is a text classification model from SmilestheSad. 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 27, 2022
- Updated
- Sep 27, 2022
- SHA
- 2589626a
Try a prompt
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-cased-sep-26
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0467
- F1: 0.9318
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1125 | 1.0 | 1078 | 0.0552 | 0.8867 |
| 0.0438 | 2.0 | 2156 | 0.0452 | 0.9180 |
| 0.0288 | 3.0 | 3234 | 0.0449 | 0.9261 |
| 0.0202 | 4.0 | 4312 | 0.0445 | 0.9309 |
| 0.0152 | 5.0 | 5390 | 0.0467 | 0.9318 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 27, 2022
- Updated
- Sep 27, 2022