flan-t5-large-extraction-all-cnndm_4000-ep6-nonstop – AI Model by Zekunli | AlphaNeural AI

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flan-t5-large-extraction-all-cnndm_4000-ep6-nonstop

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flan-t5-large-extraction-all-cnndm_4000-ep6-nonstop

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

Loss: 1.7303
Hint Hit Num: 1.948
Hint Precision: 0.3357
Num: 5.826
Gen Len: 18.99

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: 40
eval_batch_size: 80
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.1948	1.0	100	1.8009	1.846	0.3231	5.744	19.0
1.9348	2.0	200	1.7486	1.976	0.3451	5.772	18.986
1.8668	3.0	300	1.7397	1.96	0.3366	5.852	18.99
1.8287	4.0	400	1.7362	1.928	0.3339	5.794	18.99
1.8039	5.0	500	1.7326	1.926	0.3336	5.79	18.99
1.7911	6.0	600	1.7303	1.948	0.3357	5.826	18.99

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1