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bart-noised-with-all-dist11 – AI Model by gayanin | AlphaNeural AI
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gayanin
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bart-noised-with-all-dist11
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
gayanin/bart-noised-with-all-dist
finetune
apache-2.0
endpoints_compatible
us
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bart-noised-with-all-dist11
This model is a fine-tuned version of
gayanin/bart-noised-with-all-dist
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0005
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: 5e-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
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.8895
0.74
500
2.4951
2.2559
1.48
1000
2.1855
2.2002
2.22
1500
2.0433
2.0194
2.96
2000
2.0005
Framework versions
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1
