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Twiiter-sentiment – AI Model by Virajbane | AlphaNeural AI
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results
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4557
Accuracy: 0.7938
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: 16
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3976
1.0
465
0.4577
0.7868
0.4052
2.0
930
0.4557
0.7938
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cpu
Datasets 3.6.0
Tokenizers 0.21.2
