bartL_3 – AI Model by HatimF | AlphaNeural AI

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HatimF/
bartL_3

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text2text-generation

generated_from_trainer

facebook/bart-large

endpoints_compatible

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bartL_3

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

Loss: 2.8209
Rouge1: 0.1782
Rouge2: 0.0368
Rougel: 0.1349
Rougelsum: 0.1349
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: 1
eval_batch_size: 1
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
3.283	1.0	317	2.7342	0.1742	0.0364	0.128	0.1283	20.0
2.6366	2.0	634	2.7466	0.1838	0.0448	0.139	0.1394	20.0
2.2437	3.0	951	2.7819	0.1691	0.0374	0.1277	0.1278	20.0
1.9957	4.0	1268	2.8209	0.1782	0.0368	0.1349	0.1349	20.0

Framework versions

Transformers 4.37.0
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.1