bart-large-cnn-reddit-summary – AI Model by alexdg19 | AlphaNeural AI

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alexdg19/
bart-large-cnn-reddit-summary

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text2text-generation

generated_from_trainer

facebook/bart-large-cnn

endpoints_compatible

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bart-large-cnn-reddit-summary

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8583
Rouge1: 0.4709
Rouge2: 0.1924
Rougel: 0.3079
Rougelsum: 0.3439
Gen Len: 97.7071

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: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 9
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.82	1.0	1126	1.7804	0.4605	0.1876	0.3019	0.3362	93.7606
1.5081	2.0	2252	1.7577	0.4656	0.1908	0.304	0.3408	97.3503
1.2919	3.0	3378	1.7755	0.4709	0.1945	0.3096	0.3447	96.6052
1.1352	4.0	4504	1.8307	0.4708	0.1945	0.3088	0.345	97.0
1.0327	5.0	5630	1.8583	0.4709	0.1924	0.3079	0.3439	97.7071

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0