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Text_Summarization – AI Model by ThirdEyeData | AlphaNeural AI
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Text_Summarization
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
billsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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Text_Summarization
This model is a fine-tuned version of
t5-small
on the billsum dataset. It achieves the following results on the evaluation set:
Loss: 2.7235
Rouge1: 0.1324
Rouge2: 0.0397
Rougel: 0.1114
Rougelsum: 0.111
Gen Len: 19.0
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
74
2.8406
0.1286
0.04
0.1087
0.1088
19.0
No log
2.0
148
2.7235
0.1324
0.0397
0.1114
0.111
19.0
Framework versions
Transformers 4.29.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
