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bert-base-uncased-fibe-final – AI Model by pilotj | AlphaNeural AI

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pilotj/
bert-base-uncased-fibe-final

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text-classification

generated_from_trainer

pilotj/bert-base-uncased-fibe-v3

autotrain_compatible

endpoints_compatible

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bert-base-uncased-fibe-final

This model is a fine-tuned version of pilotj/bert-base-uncased-fibe-v3 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3655
eval_runtime: 111.3303
eval_samples_per_second: 234.896
eval_steps_per_second: 3.674
epoch: 1.0030
step: 10500

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: 5e-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: 2

Framework versions

Transformers 4.45.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0