t5-feedback-generator – AI Model by nguyennghia0902 | AlphaNeural AI

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nguyennghia0902/
t5-feedback-generator

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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t5-feedback-generator

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8114
Rouge1: 50.7191
Rouge2: 31.3035
Rougel: 40.6378
Rougelsum: 40.6764

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: 0.0005
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
62.9320	1.0	124	5.3056	19.8545	2.9046	17.6738	17.6777
34.6080	2.0	248	2.5459	47.8893	28.356	38.5807	38.5019
20.7233	3.0	372	1.8166	49.9502	30.8132	40.2307	40.1334

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2