gpt2-ft-with-non-challenging

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.9906

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: 0.0005
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100.0
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	4.0984
No log	2.0	2	4.0802
No log	3.0	3	4.0443
No log	4.0	4	3.9906

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0
• Datasets 1.18.4
• Tokenizers 0.11.6