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T5-small-synthetic-FLUTE – AI Model by RicoBorra | AlphaNeural AI
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RicoBorra
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T5-small-synthetic-FLUTE
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5-small-synthetic-FLUTE
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0517
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: 0.0003
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
1.6954
1.0
2316
1.2714
1.039
2.0
4632
1.1697
1.4594
3.0
6948
1.1241
0.9971
4.0
9264
1.0919
1.3562
5.0
11580
1.0757
0.6796
6.0
13896
1.0653
1.0082
7.0
16212
1.0549
0.8228
8.0
18528
1.0517
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
