pegasus-cnn_dailymail-1000-lit-evalMA-ga1 – AI Model by cammy | AlphaNeural AI

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pegasus-cnn_dailymail-1000-lit-evalMA-ga1

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pegasus-cnn_dailymail-1000-lit-evalMA-ga1

This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6852
Rouge1: 25.8242
Rouge2: 11.1309
Rougel: 20.7946
Rougelsum: 22.5591
Gen Len: 46.32

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	250	1.7061	25.8547	10.8573	20.8419	22.5942	44.36
1.4533	2.0	500	1.6876	26.105	11.5635	21.132	23.044	45.65
1.4533	3.0	750	1.6852	25.8242	11.1309	20.7946	22.5591	46.32

Framework versions

Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.3
Tokenizers 0.11.0