bart_booksum_1 – AI Model by HatimF | AlphaNeural AI

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HatimF/
bart_booksum_1

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart_booksum_1

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

Loss: 3.0264
Rouge1: 0.1795
Rouge2: 0.0368
Rougel: 0.1337
Rougelsum: 0.1334
Gen Len: 20.0

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: 1515
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.8176	1.0	80	3.0712	0.1765	0.0372	0.1298	0.1299	20.0
3.3835	2.0	160	3.0365	0.1871	0.0444	0.1382	0.1382	20.0
3.2162	3.0	240	3.0281	0.1892	0.0426	0.1385	0.1383	20.0
3.1147	4.0	320	3.0264	0.1795	0.0368	0.1337	0.1334	20.0

Framework versions

Transformers 4.37.0
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.1