dialogsum_bart_large – AI Model by smitz94 | AlphaNeural AI

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smitz94/
dialogsum_bart_large

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text2text-generation

generated_from_trainer

facebook/bart-large

endpoints_compatible

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dialogsum_bart_large

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

Loss: 1.3282
Rouge1: 0.4162
Rouge2: 0.1783
Rougel: 0.3551
Rougelsum: 0.3553
Gen Len: 19.838

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1326	1.0	3115	1.3148	0.3975	0.1596	0.335	0.3352	19.942
0.937	2.0	6230	1.2903	0.3994	0.1613	0.3394	0.3393	19.858
0.7955	3.0	9345	1.3001	0.4171	0.1794	0.357	0.3569	19.784
0.6845	4.0	12460	1.3282	0.4162	0.1783	0.3551	0.3553	19.838

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.3
Tokenizers 0.13.3