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mmodel – AI Model by isergazin | AlphaNeural AI
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mmodel
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
ai-forever/ruBert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mmodel
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:
Loss: 0.5573
F1: 0.7928
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.103
1.0
583
0.7032
0.6490
0.6269
2.0
1166
0.5894
0.7247
0.4436
3.0
1749
0.5259
0.7631
0.3343
4.0
2332
0.5193
0.7976
0.2479
5.0
2915
0.5573
0.7928
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
