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dialogue-summarize – AI Model by van-ng | AlphaNeural AI
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van-ng
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dialogue-summarize
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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dialogue-summarize
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 52.0
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: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.31
10
52.6000
No log
0.62
20
52.2000
49.02
0.94
30
52.1000
49.02
1.25
40
51.9500
48.76
1.56
50
52.0
Framework versions
Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.17.1
Tokenizers 0.13.2
