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my_bart_model – AI Model by Koltunov-Matthew | AlphaNeural AI
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Koltunov-Matthew
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my_bart_model
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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my_bart_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: 1.8325
Rouge1: 0.3004
Rouge2: 0.1539
Rougel: 0.244
Rougelsum: 0.2441
Gen Len: 59.9356
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: 4
eval_batch_size: 4
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
Gen Len
1.6223
1.0
27000
1.8325
0.3004
0.1539
0.244
0.2441
59.9356
Framework versions
Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.13.3