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sarcasm_BART – AI Model by m-biriuchinskii | AlphaNeural AI
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sarcasm_BART
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
sshleifer/distilbart-xsum-12-3
finetune
apache-2.0
endpoints_compatible
us
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sarcasm_BART
This model is a fine-tuned version of
sshleifer/distilbart-xsum-12-3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9873
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
Training results
Training Loss
Epoch
Step
Validation Loss
1.0755
1.0
1464
0.9873
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
