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This model is a fine-tuned version of microsoft/DialoGPT-medium on the daily_dialog dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.7442
• eval_runtime: 12.5801
• eval_samples_per_second: 79.49
• eval_steps_per_second: 2.544
• epoch: 9.35
• step: 6500

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: 10

Framework versions

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