SummarEaseFocusV3 – AI Model by notBanana | AlphaNeural AI

You can deploy this model and start earning money today!

notBanana/
SummarEaseFocusV3

like

0

text2text-generation

generated_from_trainer

notBanana/SummarEaseFocusV2

endpoints_compatible

Views

No views yet

SummarEaseFocusV3

This model is a fine-tuned version of notBanana/SummarEaseFocusV2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7999
Rouge1: 0.2481
Rouge2: 0.1215
Rougel: 0.2151
Rougelsum: 0.2151
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	1.8917	0.2091	0.0954	0.1797	0.177	20.0
No log	2.0	2	1.8909	0.2091	0.0954	0.1797	0.177	20.0
No log	3.0	3	1.8290	0.2386	0.1177	0.2084	0.2081	20.0
No log	4.0	4	1.7999	0.2481	0.1215	0.2151	0.2151	20.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1