mitigation_recommender_flanT5base – AI Model by imwizard | AlphaNeural AI

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imwizard/
mitigation_recommender_flanT5base

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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mitigation_recommender_flanT5base

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: 2.9726
Rouge1: 0.3336
Rouge2: 0.1351
Rougel: 0.2764
Rougelsum: 0.2798

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	14	3.1216	0.3261	0.1277	0.2796	0.2869
No log	2.0	28	2.9726	0.3336	0.1351	0.2764	0.2798
No log	3.0	42	3.0057	0.3550	0.1551	0.2937	0.3017
No log	4.0	56	3.1233	0.3455	0.1439	0.2865	0.2946

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1