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results – AI Model by jjjjjjjjjjjjjjjj | AlphaNeural AI
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results
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
paust/pko-t5-large
finetune
cc-by-4.0
text-generation-inference
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
paust/pko-t5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1500
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: 0.0007
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.86
4
1.6254
No log
1.95
9
1.2538
No log
2.81
13
0.6273
No log
3.89
18
0.2634
No log
4.97
23
0.1473
No log
5.84
27
0.1497
No log
6.92
32
0.1500
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
