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distilbert-base-uncased-finetuned-outop-y – AI Model by himanimaheshwari3 | AlphaNeural AI
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himanimaheshwari3
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distilbert-base-uncased-finetuned-outop-y
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transformers
pytorch
tensorboard
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-outop-y
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: 3.0965
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
5.0634
1.0
4
4.9198
5.3496
2.0
8
3.3014
4.8986
3.0
12
5.2252
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
