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metadata
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
  - generated_from_trainer
model-index:
  - name: tiny-gpt2-br
    results: []
widget:
  - text: E-kichen Plougerne
  - text: Emañ Katell
  - text: Yann a oa o
datasets:
  - gweltou/text-br
  - gweltou/wikipedia-br-20240325
language:
  - br

tiny-gpt2-br

This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.2672
  • eval_runtime: 134.3513
  • eval_samples_per_second: 259.023
  • eval_steps_per_second: 16.189
  • epoch: 3.42
  • step: 134000

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: 0.0008
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 4

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2