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distilgpt2-finetuned-cybernative – AI Model by nebiyuelias1 | AlphaNeural AI
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nebiyuelias1
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distilgpt2-finetuned-cybernative
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-finetuned-cybernative
This model is a fine-tuned version of
distilgpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0447
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: 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
3.2353
1.0
12759
3.2105
3.0855
2.0
25518
3.0827
3.0183
3.0
38277
3.0447
Framework versions
Transformers 4.38.2
Pytorch 2.1.2.post301
Datasets 2.16.0
Tokenizers 0.15.2
