SummarEaseFeat1 – AI Model by notBanana | AlphaNeural AI

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notBanana/
SummarEaseFeat1

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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SummarEaseFeat1

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

Loss: 2.1999
Rouge1: 0.1781
Rouge2: 0.0817
Rougel: 0.1578
Rougelsum: 0.1569
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: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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
No log	1.0	1	2.4636	0.172	0.0801	0.1561	0.1547	20.0
No log	2.0	2	2.3339	0.172	0.0801	0.1561	0.1547	20.0
No log	3.0	3	2.2536	0.1738	0.08	0.1579	0.157	20.0
No log	4.0	4	2.1999	0.1781	0.0817	0.1578	0.1569	20.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1