finetuned_cl_model

This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8152

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: 2e-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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.1834	1.0	1827	1.9218
2.0486	2.0	3654	1.8364
2.0195	3.0	5481	1.8152

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.0
• Datasets 2.18.0
• Tokenizers 0.15.2