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bart-dialogsum-finetuned – AI Model by kaushalcol | AlphaNeural AI
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kaushalcol
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bart-dialogsum-finetuned
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
endpoints_compatible
us
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bart-dialogsum-finetuned
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1582
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0117
1.0
3115
1.0969
0.7644
2.0
6230
1.1303
0.571
3.0
9345
1.1582
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
