flan-t5-large-extraction-cnndm_2000-all-loss-ep20 – AI Model by Zekunli | AlphaNeural AI

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Zekunli/
flan-t5-large-extraction-cnndm_2000-all-loss-ep20

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flan-t5-large-extraction-cnndm_2000-all-loss-ep20

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: 1.7153
Hint Hit: 1.7928
Hint Hit Num: 2.5301
Hint Precision: 0.4552
Hint Bleu: 4.636
Num: 5.479
Gen Len: 18.9931

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: 16
eval_batch_size: 64
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit	Hint Hit Num	Hint Precision	Hint Bleu	Num	Gen Len
2.1072	1.6	200	1.7498	1.7633	2.4767	0.4481	4.446	5.3305	18.9731
1.8307	3.2	400	1.7198	1.6971	2.4135	0.4417	4.4059	5.2794	18.9886
1.7198	4.8	600	1.7166	1.7773	2.5021	0.4525	4.551	5.4013	18.9849
1.6269	6.4	800	1.7153	1.7928	2.5301	0.4552	4.636	5.479	18.9931
1.566	8.0	1000	1.7258	1.7252	2.4552	0.4471	4.495	5.3751	18.9874
1.5007	9.6	1200	1.7465	1.6918	2.4154	0.4414	4.4127	5.3099	18.9844
1.4532	11.2	1400	1.7489	1.6916	2.4277	0.4415	4.4515	5.3719	18.9879
1.416	12.8	1600	1.7607	1.7475	2.4828	0.4475	4.5424	5.4239	18.988
1.3794	14.4	1800	1.7810	1.6556	2.384	0.4342	4.3649	5.2977	18.9847

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1