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flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep1 – AI Model by Zekunli | AlphaNeural AI
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flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep1
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep1
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3024
Hint Hit: 0.975
Hint Hit Num: 1.966
Hint Precision: 0.3313
Hint Bleu: 3.5808
Num: 5.93
Gen Len: 18.99
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: 8
eval_batch_size: 24
seed: 1799
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
Hint Hit
Hint Hit Num
Hint Precision
Hint Bleu
Num
Gen Len
0.7779
0.8
200
2.2977
1.0185
1.996
0.3382
3.6843
5.906
18.988
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1
