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fine-tuning-distilbert – AI Model by Nguyens | AlphaNeural AI
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Nguyens
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fine-tuning-distilbert
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transformers
pytorch
safetensors
distilbert
fill-mask
generated_from_trainer
imdb
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine-tuning-distilbert
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 2.0806
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.2831
1.0
157
2.0897
2.1738
2.0
314
1.9164
2.1779
3.0
471
2.0064
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
