keyword-summarizer-10000-v2 – AI Model by ZephyrUtopia | AlphaNeural AI

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ZephyrUtopia/
keyword-summarizer-10000-v2

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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keyword-summarizer-10000-v2

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0120
Rouge1: 0.7445
Rouge2: 0.6713
Rougel: 0.7440
Rougelsum: 0.7439

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: 0.0003
train_batch_size: 8
eval_batch_size: 4
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.119	1.0	873	0.0195	0.7409	0.6627	0.7395	0.7396
0.0266	2.0	1746	0.0138	0.7433	0.6678	0.7423	0.7423
0.0121	3.0	2619	0.0120	0.7445	0.6714	0.7440	0.7439
0.0077	4.0	3492	0.0120	0.7445	0.6713	0.7440	0.7439

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3