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tiny-mlm-glue-rte-target-glue-wnli – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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tiny-mlm-glue-rte-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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tiny-mlm-glue-rte-target-glue-wnli
This model is a fine-tuned version of
muhtasham/tiny-mlm-glue-rte
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2359
Accuracy: 0.0845
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
num_epochs: 200
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.69
25.0
500
0.7582
0.2254
0.6656
50.0
1000
1.1275
0.1127
0.6173
75.0
1500
1.6428
0.0986
0.5481
100.0
2000
2.2359
0.0845
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2
