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reddit-bert-text2 – AI Model by flboehm | AlphaNeural AI
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flboehm
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reddit-bert-text2
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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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reddit-bert-text2
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4969
Perplexity: 12.14
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
2.8378
1.0
1007
2.6379
2.6493
2.0
2014
2.5655
2.5561
3.0
3021
2.5382
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu113
Datasets 1.16.1
Tokenizers 0.10.3
