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results – AI Model by Reeveg16 | AlphaNeural AI
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Reeveg16
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results
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pytorch
distilbert
generated_from_trainer
apache-2.0
us
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Model card
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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: 1.6668
Accuracy: 0.4895
F1: 0.3911
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
36
1.9663
0.3497
0.2125
No log
2.0
72
1.8290
0.3706
0.2317
1.8015
3.0
108
1.7294
0.4266
0.3157
1.8015
4.0
144
1.6881
0.4755
0.3786
1.8015
5.0
180
1.6668
0.4895
0.3911
Framework versions
Transformers 4.28.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.13.3
