flan-t5-base-extraction-cnndm_4000-all-hint_precision-ep50 – AI Model by Zekunli | AlphaNeural AI

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flan-t5-base-extraction-cnndm_4000-all-hint_precision-ep50

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flan-t5-base-extraction-cnndm_4000-all-hint_precision-ep50

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

Loss: 1.8125
Hint Hit Num: 2.3766
Hint Precision: 0.4326
Num: 5.5019
Gen Len: 18.9989

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: 32
eval_batch_size: 100
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.321	1.6	200	1.8768	2.2035	0.4107	5.3583	18.9861
2.0736	3.2	400	1.8125	2.3766	0.4326	5.5019	18.9989
1.9909	4.8	600	1.7994	2.2962	0.4233	5.4165	18.9978
1.9262	6.4	800	1.7771	2.3816	0.4323	5.5021	18.9999
1.8874	8.0	1000	1.7705	2.3657	0.4295	5.493	18.9997
1.8487	9.6	1200	1.7739	2.3792	0.4299	5.5187	18.9994
1.8073	11.2	1400	1.7743	2.3692	0.4302	5.4875	18.9993

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1