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bert-base-cased-wikitext2-test-mlm – AI Model by Jinchen | AlphaNeural AI
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Jinchen
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bert-base-cased-wikitext2-test-mlm
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transformers
pytorch
optimum_graphcore
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-cased-wikitext2-test-mlm
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.125
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: 1
eval_batch_size: 1
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 64
total_train_batch_size: 256
total_eval_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
training precision: Mixed Precision
Training results
Framework versions
Transformers 4.20.0
Pytorch 1.10.0+rocm4.2
Datasets 2.3.2
Tokenizers 0.12.1
