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pegasus-large-finetuned-aeslc – AI Model by sohamchougule | AlphaNeural AI
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pegasus-large-finetuned-aeslc
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
aeslc
model-index
endpoints_compatible
us
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pegasus-large-finetuned-aeslc
This model is a fine-tuned version of
google/pegasus-large
on the aeslc dataset. It achieves the following results on the evaluation set:
Loss: 3.0274
Rouge1: 32.9341
Rouge2: 17.7876
Rougel: 32.0858
Rougelsum: 32.0886
Gen Len: 11.6577
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
3.3247
1.0
7218
3.0274
32.9341
17.7876
32.0858
32.0886
11.6577
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
