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roberta_crypto_profiling_task1_3
pabagcha/roberta_crypto_profiling_task1_3
roberta_crypto_profiling_task1_3 is a text classification model from pabagcha. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 19, 2023
- Updated
- May 19, 2023
- SHA
- 94aa7acd
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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. -->
roberta_crypto_profiling_task1_3
This model is a fine-tuned version of cardiffnlp/twitter-roberta-large-2022-154m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4017
- Accuracy: 0.4471
- F1: 0.4355
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 19, 2023
- Updated
- May 19, 2023