xsum_and_billsum_and_old – AI Model by psin | AlphaNeural AI

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xsum_and_billsum_and_old

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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xsum_and_billsum_and_old

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

Loss: 3.6673
Rouge1: 0.078
Rouge2: 0.0127
Rougel: 0.0648
Rougelsum: 0.065
Gen Len: 19.0
Precision: 0.0673
Recall: -0.2134
F1: -0.0
Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled

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: 8
eval_batch_size: 8
seed: 72
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Precision	Recall	F1	Hashcode
No log	1.0	42	3.7474	0.0694	0.0093	0.0572	0.0575	19.0	0.0475	-0.2208	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log	2.0	84	3.7070	0.0748	0.0139	0.0621	0.0623	19.0	0.0667	-0.2237	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log	3.0	126	3.6862	0.0738	0.0125	0.0628	0.0631	19.0	0.0577	-0.2232	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log	4.0	168	3.6754	0.0774	0.0129	0.0646	0.0649	19.0	0.0747	-0.2113	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log	5.0	210	3.6695	0.0775	0.0127	0.0644	0.0647	19.0	0.0733	-0.2139	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled
No log	6.0	252	3.6673	0.078	0.0127	0.0648	0.065	19.0	0.0673	-0.2134	-0.0	roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.28.1)-rescaled

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3