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tiny-mlm-glue-rte-custom-tokenizer – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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tiny-mlm-glue-rte-custom-tokenizer
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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tiny-mlm-glue-rte-custom-tokenizer
This model is a fine-tuned version of
google/bert_uncased_L-2_H-128_A-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.3646
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
7.71
1.6
500
7.1503
6.8618
3.21
1000
7.2787
6.816
4.81
1500
7.2543
6.7094
6.41
2000
7.3646
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2
