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distilbert-base-uncased-binaryclassification-v1 – AI Model by allistair99 | AlphaNeural AI
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allistair99
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distilbert-base-uncased-binaryclassification-v1
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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-v1
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: 0.5413
Accuracy: 0.7271
Precision: 0.6170
Recall: 0.5842
F1: 0.6001
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.4956
1.0
3750
0.5371
0.7189
0.6102
0.5492
0.5781
0.4256
2.0
7500
0.5413
0.7271
0.6170
0.5842
0.6001
Framework versions
Transformers 4.40.0
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.19.1
