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ruBert-base-1-4 – AI Model by Adammz | AlphaNeural AI

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Adammz/
ruBert-base-1-4

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0

text-classification

generated_from_trainer

ai-forever/ruBert-base

autotrain_compatible

endpoints_compatible

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ruBert-base-1-4

This model is a fine-tuned version of ai-forever/ruBert-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3719
eval_accuracy: 0.9187
eval_runtime: 7.3504
eval_samples_per_second: 1632.566
eval_steps_per_second: 51.018
epoch: 9.64
step: 14464

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0