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Sumx-test-model – AI Model by Priyanshuchaudhary2425 | AlphaNeural AI
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Sumx-test-model
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transformers
tensorboard
safetensors
bart
text2text-generation
summarization
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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Sumx-test-model
This model is a fine-tuned version of
facebook/bart-large-cnn
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8528
Rouge1: 0.3746
Rouge2: 0.1592
Rougel: 0.2578
Rougelsum: 0.3476
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: 5.6e-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
1.1476
1.0
250
1.8528
0.3746
0.1592
0.2578
0.3476
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
