lmind_hotpot_train500_eval300_v1_recite_qa_gpt2-xl

This model is a fine-tuned version of gpt2-xl on the tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa dataset. It achieves the following results on the evaluation set:

• Loss: 0.4030
• Accuracy: 0.7413

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: 3e-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: constant
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0739	0.5	66	1.8405	0.6206
1.8806	1.01	132	1.5749	0.6365
1.3619	1.51	198	1.3425	0.6533
1.283	2.02	264	1.1253	0.6685
0.8433	2.52	330	0.9735	0.6825
0.7629	3.02	396	0.7874	0.6982
0.5058	3.53	462	0.6921	0.7086
0.4593	4.03	528	0.5641	0.7197
0.3064	4.53	594	0.5348	0.7245
0.2967	5.04	660	0.4770	0.7304
0.2167	5.54	726	0.4582	0.7324
0.2157	6.05	792	0.4308	0.7358
0.1597	6.55	858	0.4301	0.7373
0.1481	7.05	924	0.4224	0.7385
0.1293	7.56	990	0.4125	0.7394
0.125	8.06	1056	0.4122	0.7400
0.1139	8.56	1122	0.4069	0.7407
0.1141	9.07	1188	0.4082	0.7409
0.0994	9.57	1254	0.4065	0.7412

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1