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small-mlm-glue-qnli-target-glue-wnli – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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small-mlm-glue-qnli-target-glue-wnli
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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small-mlm-glue-qnli-target-glue-wnli
This model is a fine-tuned version of
muhtasham/small-mlm-glue-qnli
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.3724
Accuracy: 0.0986
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
training_steps: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6311
25.0
500
2.6325
0.1127
0.3078
50.0
1000
5.0674
0.0986
0.1342
75.0
1500
6.6215
0.0704
0.0819
100.0
2000
7.3724
0.0986
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2
