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pegasus-base-qag-bg-finetuned-punctuation-bg – AI Model by popaqy | AlphaNeural AI
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popaqy
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pegasus-base-qag-bg-finetuned-punctuation-bg
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transformers
pytorch
tensorboard
pegasus
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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pegasus-base-qag-bg-finetuned-punctuation-bg
This model is a fine-tuned version of
rmihaylov/pegasus-base-qag-bg
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0318
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: 5.6e-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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
0.0563
1.0
4063
0.0279
0.0301
2.0
8126
0.0260
0.0227
3.0
12189
0.0259
0.0178
4.0
16252
0.0281
0.0145
5.0
20315
0.0290
0.0122
6.0
24378
0.0300
0.0105
7.0
28441
0.0305
0.0095
8.0
32504
0.0318
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
