flan-t5-large-extraction-all-dm_2000-ep25-nonstop – AI Model by Zekunli | AlphaNeural AI

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flan-t5-large-extraction-all-dm_2000-ep25-nonstop

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flan-t5-large-extraction-all-dm_2000-ep25-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: 1.6447
Hint Hit Num: 2.581
Hint Precision: 0.491
Num: 5.255
Gen Len: 18.407

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: 24
eval_batch_size: 96
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.2187	2.38	200	1.5459	2.651	0.4887	5.437	18.784
1.8908	4.76	400	1.5341	2.637	0.4868	5.413	18.721
1.7562	7.14	600	1.5352	2.569	0.4746	5.406	18.684
1.6683	9.52	800	1.5501	2.609	0.4811	5.414	18.658
1.5782	11.9	1000	1.5733	2.58	0.4852	5.306	18.536
1.517	14.29	1200	1.5896	2.619	0.491	5.32	18.579
1.464	16.67	1400	1.6124	2.632	0.4992	5.283	18.414
1.4189	19.05	1600	1.6326	2.548	0.4863	5.24	18.436
1.3901	21.43	1800	1.6408	2.563	0.4881	5.247	18.408
1.3845	23.81	2000	1.6429	2.601	0.4931	5.266	18.424

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1