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plbart-base-finetuned-src_fm_fc_ms_ff-to-test – AI Model by Minata | AlphaNeural AI
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Minata
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plbart-base-finetuned-src_fm_fc_ms_ff-to-test
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transformers
pytorch
tensorboard
plbart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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plbart-base-finetuned-src_fm_fc_ms_ff-to-test
This model is a fine-tuned version of
uclanlp/plbart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2093
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3796
1.0
1125
0.2741
0.2482
2.0
2250
0.2372
0.2077
3.0
3375
0.2200
0.1841
4.0
4500
0.2121
0.1704
5.0
5625
0.2093
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
