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data-deepit-kds – AI Model by foxanthis | AlphaNeural AI
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foxanthis
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data-deepit-kds
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transformers
pytorch
tensorboard
gpt_neo
text-generation
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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Model card
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data-deepit-kds
This model is a fine-tuned version of
flax-community/gpt-neo-125M-code-clippy
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3333
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
3
0.5930
No log
2.0
6
0.3968
No log
3.0
9
0.3333
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2