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TinyBERT_L-4_H-312_v2-finetuned-wikitext103 – AI Model by saghar | AlphaNeural AI
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saghar
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TinyBERT_L-4_H-312_v2-finetuned-wikitext103
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transformers
pytorch
bert
fill-mask
generated_from_trainer
wikitext
autotrain_compatible
endpoints_compatible
us
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TinyBERT_L-4_H-312_v2-finetuned-wikitext103
This model is a fine-tuned version of
nreimers/TinyBERT_L-4_H-312_v2
on the wikitext dataset. It achieves the following results on the evaluation set:
Loss: 6.4638
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
7.0604
1.0
3125
6.6745
6.7122
2.0
6250
6.5061
6.6289
3.0
9375
6.4638
Framework versions
Transformers 4.16.2
Pytorch 1.8.1
Datasets 1.11.0
Tokenizers 0.10.3
