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distilbert-base-uncased-finetuned-custom-dataset – AI Model by pavithrav | AlphaNeural AI
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pavithrav
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distilbert-base-uncased-finetuned-custom-dataset
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transformers
pytorch
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-finetuned-custom-dataset
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: 0.3064
Accuracy: 0.9131
F1: 0.9086
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: 64
eval_batch_size: 64
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
F1
1.0869
1.0
257
0.4560
0.8818
0.8738
0.3225
2.0
514
0.3064
0.9131
0.9086
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
