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pp_distilbert_ft_tweet_irony
Parth1612/pp_distilbert_ft_tweet_irony
pp_distilbert_ft_tweet_irony is a text classification model from Parth1612. 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
- Mar 11, 2024
- Updated
- Mar 13, 2024
- SHA
- 62eab37d
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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. -->
pp_distilbert_ft_tweet_irony
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: 0.8957
- Accuracy: 0.6531
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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.72 | 50 | 0.6234 | 0.6670 |
| No log | 3.45 | 100 | 0.8289 | 0.6681 |
| No log | 5.17 | 150 | 1.1167 | 0.6639 |
| No log | 6.9 | 200 | 1.4927 | 0.6450 |
| No log | 8.62 | 250 | 1.5717 | 0.6639 |
| No log | 10.34 | 300 | 1.7161 | 0.6597 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 11, 2024
- Updated
- Mar 13, 2024