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ToBeOrNotToBE – AI Model by gnmskel | AlphaNeural AI
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gnmskel
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ToBeOrNotToBE
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
KETI-AIR/ke-t5-base-ko
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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ToBeOrNotToBE
This model is a fine-tuned version of
KETI-AIR/ke-t5-base-ko
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 39.4877
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: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
265
84.3180
127.3935
2.0
530
61.3429
127.3935
3.0
795
46.6663
56.6333
4.0
1060
41.3475
56.6333
5.0
1325
39.4877
Framework versions
Transformers 4.46.1
Pytorch 2.5.0
Datasets 3.0.2
Tokenizers 0.20.1
