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End of training
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metadata
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
  - generated_from_trainer
model-index:
  - name: autoregressive_finetune_rate5e-05_epochs4
    results: []

autoregressive_finetune_rate5e-05_epochs4

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

  • Loss: 2.7279

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

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 11 3.0813
No log 2.0 22 2.8683
No log 3.0 33 2.7620
No log 4.0 44 2.7279

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2