finetuned_dialogpt_117m

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

• Loss: 1.3564

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.5949	1.0	942	1.4665
1.4725	2.0	1884	1.3824
1.4022	3.0	2826	1.3564

Framework versions

• Transformers 4.53.2
• Pytorch 2.7.0a0+7c8ec84dab.nv25.03
• Datasets 2.2.1
• Tokenizers 0.21.1