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bert_uncased_L-4_H-256_A-4-finetuned-hangman – AI Model by vaibhav9 | AlphaNeural AI
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bert_uncased_L-4_H-256_A-4-finetuned-hangman
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transformers
pytorch
bert
fill-mask
generated_from_trainer
google/bert_uncased_L-4_H-256_A-4
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert_uncased_L-4_H-256_A-4-finetuned-hangman
This model is a fine-tuned version of
google/bert_uncased_L-4_H-256_A-4
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3823
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: 8
eval_batch_size: 8
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
1.8488
1.0
22730
2.3634
1.814
2.0
45460
2.3782
1.7889
3.0
68190
2.3823
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
