xiulinyang/GPT2_10MRR_50000

10MRR_50000_41

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.6435
• Accuracy: 0.3132

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: 0.0006
• train_batch_size: 32
• eval_batch_size: 32
• seed: 41
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 20.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3222	1.0	1016	5.0527	0.2888
1.1829	2.0	2032	4.9731	0.2931
1.1528	3.0	3048	4.8485	0.2999
1.128	4.0	4064	4.7903	0.3020
1.1098	5.0	5080	4.7537	0.3039
1.0951	6.0	6096	4.7167	0.3058
1.0824	7.0	7112	4.6997	0.3068
1.0724	8.0	8128	4.6741	0.3081
1.0626	9.0	9144	4.6690	0.3082
1.0532	10.0	10160	4.6595	0.3097
1.0428	11.0	11176	4.6561	0.3101
1.0351	12.0	12192	4.6442	0.3108
1.0274	13.0	13208	4.6444	0.3109
1.0206	14.0	14224	4.6422	0.3117
1.0125	15.0	15240	4.6393	0.3118
1.0029	16.0	16256	4.6410	0.3124
0.9949	17.0	17272	4.6424	0.3123
0.9891	18.0	18288	4.6434	0.3128
0.9799	19.0	19304	4.6415	0.3130
0.977	20.0	20320	4.6435	0.3132

Framework versions

• Transformers 4.51.3
• Pytorch 2.5.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.1