flan-t5-large-extraction-all-cnn_2000-ep25-nonstop – AI Model by Zekunli | AlphaNeural AI

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flan-t5-large-extraction-all-cnn_2000-ep25-nonstop

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flan-t5-large-extraction-all-cnn_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: 1.8888
Hint Hit Num: 2.01
Hint Precision: 0.3447
Num: 5.837
Gen Len: 18.999

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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.0904	1.6	200	1.7731	1.981	0.3417	5.823	18.993
1.8113	3.2	400	1.7548	1.927	0.3363	5.741	18.995
1.6986	4.8	600	1.7478	1.95	0.3349	5.825	18.995
1.6024	6.4	800	1.7592	1.925	0.3317	5.808	18.994
1.5406	8.0	1000	1.7628	1.97	0.339	5.815	18.995
1.4624	9.6	1200	1.7749	1.974	0.3378	5.839	18.988
1.4123	11.2	1400	1.7986	1.952	0.3355	5.82	18.995
1.3698	12.8	1600	1.8116	1.99	0.3413	5.841	18.999
1.3246	14.4	1800	1.8241	1.97	0.3368	5.842	18.999
1.2865	16.0	2000	1.8407	2.016	0.3467	5.827	18.999
1.2549	17.6	2200	1.8636	2.023	0.3427	5.905	18.999
1.2345	19.2	2400	1.8752	2.018	0.3439	5.874	18.999
1.2122	20.8	2600	1.8750	2.001	0.3438	5.827	18.999
1.2002	22.4	2800	1.8814	2.026	0.3461	5.868	18.999
1.1957	24.0	3000	1.8862	2.015	0.3457	5.832	18.999

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1