gpt2-walamakan-2 / README.md
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metadata
license: apache-2.0
base_model: Karzan/gpt2-walamakan-2
tags:
  - generated_from_trainer
model-index:
  - name: gpt2-walamakan-2
    results: []

gpt2-walamakan-2

This model is a fine-tuned version of Karzan/gpt2-walamakan-2 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 7.2866
  • eval_runtime: 1.4868
  • eval_samples_per_second: 67.261
  • eval_steps_per_second: 3.363
  • epoch: 22.99
  • step: 868

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: 3e-05
  • train_batch_size: 20
  • eval_batch_size: 20
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 80
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3