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mmodel_v7

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: ai-forever/ruBert-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: mmodel_v7
    results: []

mmodel_v7

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: 0.4323
  • Accuracy: 0.9040
  • F1: 0.9015

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 Accuracy F1
0.517 1.0 1523 0.4415 0.8809 0.8692
0.3514 2.0 3046 0.4008 0.8953 0.8870
0.2396 3.0 4569 0.3796 0.9034 0.9010
0.1594 4.0 6092 0.3798 0.9065 0.9034
0.1006 5.0 7615 0.4323 0.9040 0.9015

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1
  • Datasets 3.1.0
  • Tokenizers 0.20.3