gpt2-finetuned-justification-v2

This model is a fine-tuned version of on the None 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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	338	0.1999	32.9103	14.6197	24.2481	30.4464

Framework versions

• Transformers 4.36.2
• Pytorch 2.2.2+cu121
• Datasets 2.16.0
• Tokenizers 0.15.2