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distilbert-base-uncased-allemo3 – AI Model by cha5yn | AlphaNeural AI
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cha5yn
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distilbert-base-uncased-allemo3
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-allemo3
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: 1.6839
Accuracy: 0.4528
F1: 0.4424
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: 5e-05
train_batch_size: 1024
eval_batch_size: 1024
seed: 73939133
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
253
1.7546
0.4397
0.4237
1.888
2.0
506
1.6975
0.4496
0.4391
1.888
3.0
759
1.6856
0.4520
0.4401
1.6447
4.0
1012
1.6839
0.4528
0.4424
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0
