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bert-riddle-finetuned_3choice – AI Model by shirzady1934 | AlphaNeural AI
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bert-riddle-finetuned_3choice
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transformers
tensorboard
safetensors
bert
multiple-choice
mhs
generated_from_trainer
en
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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bert_base_uncased
This model is a fine-tuned version of
bert-base-uncased
on the word-puzzle dataset. It achieves the following results on the evaluation set:
Loss: 0.4856
Accuracy: 0.8500
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
23
1.0218
0.6000
No log
2.0
46
0.6112
0.7250
No log
3.0
69
0.4168
0.875
No log
4.0
92
0.4505
0.8500
No log
5.0
115
0.4856
0.8500
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
