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distilbert-tweet-analysis
aadishhug/distilbert-tweet-analysis
distilbert-tweet-analysis is a text classification model from aadishhug. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 21, 2023
- SHA
- cc809164
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-tweet-analysis
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3458
- F1: 0.9133
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 44 | 0.3858 | 0.9067 |
| No log | 2.0 | 88 | 0.3458 | 0.9133 |
| No log | 3.0 | 132 | 0.2841 | 0.9133 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 15, 2023
- Updated
- Mar 21, 2023