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tweet-classifier – AI Model by Cath25 | AlphaNeural AI
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Cath25
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tweet-classifier
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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tweet-classifier
This model is a fine-tuned version of
distilbert/distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1510
Accuracy: 0.941
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: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2876
1.0
1000
0.1812
0.9325
0.1441
2.0
2000
0.1583
0.9355
0.1227
3.0
3000
0.1510
0.941
Framework versions
Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
