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pegasus-newsroom-cnn-adam8bit-bs16x64acc – AI Model by oMateos2020 | AlphaNeural AI
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oMateos2020
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pegasus-newsroom-cnn-adam8bit-bs16x64acc
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transformers
pytorch
pegasus
text2text-generation
generated_from_trainer
cnn_dailymail
model-index
endpoints_compatible
us
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pegasus-newsroom-cnn-adam8bit-bs16x64acc
This model is a fine-tuned version of
oMateos2020/pegasus-newsroom-cnn_full-adafactor-bs6
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 2.8664
Rouge1: 44.1788
Rouge2: 21.453
Rougel: 31.2643
Rougelsum: 41.1116
Gen Len: 71.7213
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: 6.4e-05
train_batch_size: 4
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.25
num_epochs: 1
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.9449
1.0
1121
2.8664
44.1788
21.453
31.2643
41.1116
71.7213
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
