SummarEaseHighlightV7 – AI Model by notBanana | AlphaNeural AI

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notBanana/
SummarEaseHighlightV7

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SummarEaseHighlightV7

This model is a fine-tuned version of notBanana/SummarEaseHighlightV6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8321
Rouge1: 0.1469
Rouge2: 0.0591
Rougel: 0.136
Rougelsum: 0.1353
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	2.0183	0.1561	0.0569	0.1367	0.1365	20.0
No log	2.0	2	1.9291	0.1402	0.0526	0.1338	0.1329	20.0
No log	3.0	3	1.8663	0.1385	0.0518	0.1307	0.1306	20.0
No log	4.0	4	1.8321	0.1469	0.0591	0.136	0.1353	20.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1