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distilbert-base-uncased-binaryclassification-test1 – AI Model by allistair99 | AlphaNeural AI
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distilbert-base-uncased-binaryclassification-test1
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
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distilbert-base-uncased-binaryclassification-test1
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4215
Accuracy: 0.8358
Precision: 0.8442
Recall: 0.9319
F1: 0.8859
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.4919
1.0
230
0.4459
0.7819
0.8369
0.8459
0.8414
0.296
2.0
460
0.3710
0.8235
0.8462
0.9068
0.8754
0.3076
3.0
690
0.4215
0.8358
0.8442
0.9319
0.8859
Framework versions
Transformers 4.40.0
Pytorch 2.5.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
