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bert-small-finetuned-eurlex – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
bert-small-finetuned-eurlex

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generated_from_trainer

google/bert_uncased_L-4_H-512_A-8

autotrain_compatible

endpoints_compatible

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bert_uncased_L-4_H-512_A-8-finetuned-eurlex

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9798
eval_runtime: 51.2571
eval_samples_per_second: 638.916
eval_steps_per_second: 79.872
epoch: 2.0
step: 62604

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

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1