flan-t5-base-finetune – AI Model by htriedman | AlphaNeural AI

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htriedman/
flan-t5-base-finetune

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text2text-generation

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flan-t5-base-finetune

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

Loss: 0.0175
Rouge2 Precision: 0.8828
Rouge2 Recall: 0.1209
Rouge2 Fmeasure: 0.2082

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: 5e-05
train_batch_size: 4
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.0258	1.0	54375	0.0238	0.8678	0.119	0.2048
0.0236	2.0	108750	0.0199	0.877	0.1203	0.2071
0.0166	3.0	163125	0.0185	0.88	0.1206	0.2076
0.0134	4.0	217500	0.0177	0.8824	0.1208	0.208
0.0146	5.0	271875	0.0175	0.8828	0.1209	0.2082

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3