hyunwoongko-kobart-eb-finetuned-papers-meetings – AI Model by eunbeee | AlphaNeural AI

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hyunwoongko-kobart-eb-finetuned-papers-meetings

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hyunwoongko-kobart-eb-finetuned-papers-meetings

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

Loss: 0.3136
Rouge1: 18.3166
Rouge2: 8.0509
Rougel: 18.3332
Rougelsum: 18.3146
Gen Len: 19.9143

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.2118	1.0	7739	0.2951	18.0837	7.9585	18.0787	18.0784	19.896
0.1598	2.0	15478	0.2812	18.529	7.9891	18.5421	18.5271	19.8977
0.1289	3.0	23217	0.2807	18.0638	7.8086	18.0787	18.0583	19.9129
0.0873	4.0	30956	0.2923	18.3483	8.0233	18.3716	18.3696	19.914
0.0844	5.0	38695	0.3136	18.3166	8.0509	18.3332	18.3146	19.9143

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1