rottentomatoes_sum_v1.1 – AI Model by JGodo | AlphaNeural AI

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JGodo/
rottentomatoes_sum_v1.1

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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rottentomatoes_sum_v1.1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.2723
Rouge2: 0.1744
Rougel: 0.2512
Rougelsum: 0.2513
Gen Len: 19.5632

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Gen Len	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.895	1.0	13759	19.5278	1.7785	0.2645	0.1661	0.2435	0.2435
1.8542	2.0	27518	19.5417	1.7551	0.2701	0.172	0.2492	0.2493
1.8274	3.0	41277	19.5622	1.7428	0.2721	0.1741	0.251	0.2511
0.0	4.0	55036	nan	0.2723	0.1744	0.2512	0.2513	19.5632

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0