dialoGPT-finetuned / README.md
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metadata
license: mit
base_model: stefaniftime/tmp93avx00w
tags:
  - generated_from_trainer
datasets:
  - daily_dialog
model-index:
  - name: dialoGPT-finetuned
    results: []

dialoGPT-finetuned

This model is a fine-tuned version of stefaniftime/tmp93avx00w on the daily_dialog dataset.

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: 16
  • eval_batch_size: 32
  • 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

Training results

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3