bart-large-finetuned-resume-summarizer-bathcsize-8-epoch-9

This model is a fine-tuned version of Ameer05/tokenizer-repo on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.5988
• Rouge1: 54.4865
• Rouge2: 45.2321
• Rougel: 50.0237
• Rougelsum: 53.2463

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 9
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.3463	1.0	44	2.0015	50.2382	40.3332	45.6831	49.1811
0.2771	2.0	88	2.0433	58.3265	50.1555	54.3681	56.9592
0.172	3.0	132	2.2077	55.9801	47.6352	51.9102	54.3347
0.1251	4.0	176	2.1834	53.3525	44.2643	49.9253	52.0145
0.0901	5.0	220	2.2857	56.7259	46.7879	52.3245	55.16
0.0506	6.0	264	2.5131	53.8128	44.9024	50.4617	52.8586
0.0434	7.0	308	2.5274	52.076	41.8135	47.3822	50.2634
0.0269	8.0	352	2.6374	54.7639	45.51	50.2608	53.6006
0.0147	9.0	396	2.5988	54.4865	45.2321	50.0237	53.2463

Framework versions

• Transformers 4.15.0
• Pytorch 1.9.1
• Datasets 2.0.0
• Tokenizers 0.10.3