distilgpt2-starter

This model is a fine-tuned version of distilgpt2 on the Langame/starter dataset. It achieves the following results on the evaluation set:

  • Loss: 6.0234

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: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 500.0

Training results

Training Loss Epoch Step Validation Loss
No log 66.67 200 3.6445
No log 133.33 400 4.5703
1.0101 200.0 600 5.2109
1.0101 266.67 800 5.5430
0.0681 333.33 1000 5.7227
0.0681 400.0 1200 5.8672
0.0681 466.67 1400 5.9961

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.1
  • Tokenizers 0.11.0
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Dataset used to train Langame/distilgpt2-starter