Conclusion-generator – AI Model by tuhanasinan | AlphaNeural AI

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tuhanasinan/
Conclusion-generator

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text2text-generation

generated_from_trainer

facebook/bart-large-xsum

endpoints_compatible

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Conclusion-generator

This model is a fine-tuned version of facebook/bart-large-xsum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1366
Rouge1: 0.288
Rouge2: 0.1138
Rougel: 0.2018
Rougelsum: 0.2044

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	404	1.1414	0.2834	0.1158	0.2022	0.2044
1.3686	2.0	808	1.1263	0.2823	0.1149	0.2021	0.2042
1.0281	3.0	1212	1.1366	0.288	0.1138	0.2018	0.2044

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0