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plbart-large-finetuned-src_fm-to-testALL – AI Model by Minata | AlphaNeural AI
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plbart-large-finetuned-src_fm-to-testALL
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transformers
pytorch
tensorboard
plbart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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plbart-large-finetuned-src_fm-to-testALL
This model is a fine-tuned version of
uclanlp/plbart-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2208
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
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
0.2984
1.0
9000
0.2208
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
