text-sum-2 – AI Model by buianh0803 | AlphaNeural AI

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buianh0803/
text-sum-2

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text2text-generation

generated_from_trainer

buianh0803/text-sum

text-generation-inference

endpoints_compatible

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text-sum-2

This model is a fine-tuned version of buianh0803/text-sum on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

Loss: 1.6574
Rouge1: 0.2485
Rouge2: 0.1188
Rougel: 0.2056
Rougelsum: 0.2056
Gen Len: 18.9991

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.7956	1.0	17945	1.6629	0.2481	0.1182	0.2053	0.2054	18.999
1.7865	2.0	35890	1.6576	0.2479	0.1181	0.2049	0.205	18.9987
1.7697	3.0	53835	1.6574	0.2485	0.1188	0.2056	0.2056	18.9991

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1