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metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: essays
    results: []

essays

This model is a fine-tuned version of sberbank-ai/rugpt3small_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7676
Accuracy: 0.4758

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.29.0.dev0
Pytorch 1.9.1+cu111
Datasets 2.11.0
Tokenizers 0.13.3