gmra_model_gpt2_14082023T112228

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

• Loss: 0.3424
• Accuracy: 0.9016

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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	0.7440	0.7636
No log	1.99	142	0.5466	0.8278
No log	2.99	213	0.4379	0.8656
No log	4.0	285	0.3959	0.8787
No log	5.0	356	0.3560	0.8919
No log	5.99	427	0.3442	0.8946
No log	6.99	498	0.3535	0.8954
0.5012	8.0	570	0.3232	0.9007
0.5012	9.0	641	0.3364	0.8989
0.5012	9.96	710	0.3424	0.9016

Framework versions

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