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conversation-summ – AI Model by GuysTrans | AlphaNeural AI
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conversation-summ
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
samsum
facebook/bart-large-xsum
finetune
mit
model-index
endpoints_compatible
us
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conversation-summ
This model is a fine-tuned version of
facebook/bart-large-xsum
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.5467
Rouge1: 52.5102
Rouge2: 26.7766
Rougel: 42.7536
Rougelsum: 48.004
Gen Len: 30.9487
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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
0.0464
1.0
3683
0.5467
52.5102
26.7766
42.7536
48.004
30.9487
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
