bart-large-extraction-all-cnndm_2000-ep5 – AI Model by Zekunli | AlphaNeural AI

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Zekunli/
bart-large-extraction-all-cnndm_2000-ep5

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bart-large-extraction-all-cnndm_2000-ep5

This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8572
Hint Hit Num: 1.91
Hint Precision: 0.3668
Num: 5.066
Gen Len: 20.0

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: 72
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.2212	1.19	100	1.8652	1.86	0.3764	4.826	20.0
1.8571	2.38	200	1.8548	1.948	0.3838	4.936	20.0
1.6716	3.57	300	1.8468	1.894	0.3677	5.01	20.0
1.5749	4.76	400	1.8559	1.918	0.3695	5.066	20.0

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.5.1
Tokenizers 0.12.1