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bert-large-cased-finetuned-fce – AI Model by poro1301 | AlphaNeural AI
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poro1301
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bert-large-cased-finetuned-fce
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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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bert-large-cased-finetuned-fce
This model is a fine-tuned version of
bert-large-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5307
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.9048
1.0
122
1.6691
1.6505
2.0
244
1.5172
1.5615
3.0
366
1.5019
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
