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

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