gmra_model_gpt2_14082023T103028

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2685
• Accuracy: 0.9192

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	71	0.6906	0.7742
No log	1.99	142	0.4773	0.8286
No log	2.99	213	0.3916	0.8708
No log	4.0	285	0.3393	0.8849
No log	5.0	356	0.3144	0.9007
No log	5.99	427	0.2959	0.9112
No log	6.99	498	0.2825	0.9165
0.538	8.0	570	0.2803	0.9069
0.538	9.0	641	0.2612	0.9192
0.538	9.96	710	0.2685	0.9192

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3