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roberta_crypto_profiling_task1_2 – AI Model by pabagcha | AlphaNeural AI | AlphaNeural AI
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roberta_crypto_profiling_task1_2
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta_crypto_profiling_task1_2
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: 1.9451
Accuracy: 0.3765
F1: 0.3577
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 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3