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relation-distilbert-inv – AI Model by mfigurski80 | AlphaNeural AI
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mfigurski80
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relation-distilbert-inv
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transformers
pytorch
tensorboard
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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relation-distilbert
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6465
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: 5e-05
train_batch_size: 16
eval_batch_size: 32
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
0.6363
1.0
2812
0.6465
0.6361
2.0
5624
0.6465
0.6358
3.0
8436
0.6465
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
