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sarcasm_BART_v2 – AI Model by m-biriuchinskii | AlphaNeural AI
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m-biriuchinskii
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sarcasm_BART_v2
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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_v2
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: 0.8877
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
488
0.9496
1.559
2.0
976
0.9030
0.8131
3.0
1464
0.8735
0.6286
4.0
1952
0.8715
0.5382
5.0
2440
0.8877
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
