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plt5-base-finetuned-onet – AI Model by Adamas23 | AlphaNeural AI
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Adamas23
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plt5-base-finetuned-onet
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
allegro/plt5-base
finetune
cc-by-4.0
text-generation-inference
endpoints_compatible
us
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plt5-base-finetuned-onet
This model is a fine-tuned version of
allegro/plt5-base
on the None dataset.
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
P
R
F1
Gen Len
No log
1.0
250
nan
62.1748
60.3819
61.226
18.44
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
