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t5-conversation-summ – AI Model by GuysTrans | AlphaNeural AI
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t5-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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t5-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: 0.3003
Rouge1: 54.4662
Rouge2: 29.9033
Rougel: 44.7615
Rougelsum: 50.1037
Gen Len: 29.4487
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
0.2898
1.0
3683
0.3003
54.4662
29.9033
44.7615
50.1037
29.4487
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
