metadata

license: apache-2.0
base_model: ai-forever/ruBert-base
tags:
  - generated_from_trainer
model-index:
  - name: ruBert-base-finetuned-pos
    results: []

ruBert-base-finetuned-pos

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: 0.0007
eval_precision: 1.0
eval_recall: 1.0
eval_f1: 1.0
eval_accuracy: 1.0
eval_runtime: 0.2167
eval_samples_per_second: 96.897
eval_steps_per_second: 4.614
epoch: 2.0
step: 738

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: 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: 5

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2