flan-t5-base-extraction-cnndm_1000-all-loss-ep50 – AI Model by Zekunli | AlphaNeural AI

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flan-t5-base-extraction-cnndm_1000-all-loss-ep50

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flan-t5-base-extraction-cnndm_1000-all-loss-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: 1.8701
Hint Hit Num: 2.2908
Hint Precision: 0.4224
Num: 5.4042
Gen Len: 18.9791

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: 60
eval_batch_size: 400
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
2.4002	5.88	100	1.9290	2.16	0.4094	5.2408	18.9734
2.0248	11.76	200	1.8906	2.2181	0.4168	5.2966	18.9708
1.9015	17.65	300	1.8701	2.2908	0.4224	5.4042	18.9791
1.8255	23.53	400	1.8709	2.3019	0.4236	5.4179	18.9865
1.7675	29.41	500	1.8756	2.3209	0.4249	5.4454	18.9889
1.7203	35.29	600	1.8798	2.3049	0.4239	5.4188	18.9861
1.6937	41.18	700	1.8791	2.311	0.4232	5.4415	18.9895
1.6725	47.06	800	1.8822	2.3248	0.4247	5.451	18.989

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1