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distilbert-base-uncased-finetuned-bible – AI Model by solver-paul | AlphaNeural AI
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solver-paul
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distilbert-base-uncased-finetuned-bible
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transformers
pytorch
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-bible
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0845
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: 256
eval_batch_size: 256
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
No log
1.0
31
2.0933
No log
2.0
62
1.7663
No log
3.0
93
2.1207
Framework versions
Transformers 4.12.3
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.10.3
