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RULEC_GPT – AI Model by mika5883 | AlphaNeural AI
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mika5883
/
RULEC_GPT
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
mika5883/Pretrained_ReCl8
finetune
text-generation-inference
endpoints_compatible
us
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Model card
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RULEC_GPT
This model is a fine-tuned version of
mika5883/Pretrained_ReCl8
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2285
Bleu: 86.5591
Gen Len: 23.055
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: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
46
0.1353
89.9046
23.172
No log
2.0
92
0.1213
90.3517
23.16
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
