gpt2-xl-ft-3

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

• Loss: 1.4315

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: 4
• eval_batch_size: 4
• seed: 2022
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• 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	156	1.3062
No log	2.0	312	1.3141
No log	3.0	468	1.3810
1.1725	4.0	624	1.4315

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6

Perplexity

Score: 138.43353271484375

Dataset Size

Size: 25000