GPT-2-Base

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

• Loss: 1.4397
• Accuracy: 0.5

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	44	1.8580	0.2598
No log	2.0	88	1.7766	0.2745
No log	3.0	132	1.6079	0.4069
No log	4.0	176	1.4671	0.5098
No log	5.0	220	1.5152	0.4804
No log	6.0	264	1.4397	0.5
No log	7.0	308	1.4590	0.5098
No log	8.0	352	1.5410	0.5049

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0+cu124
• Datasets 2.21.0
• Tokenizers 0.19.1