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N-TSZ – AI Model by Jack-Anderson | AlphaNeural AI
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Jack-Anderson
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N-TSZ
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
en
openai-community/gpt2-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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N-TSZ
This model is a fine-tuned version of
gpt2-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.0972
Accuracy: 0.0
Model description
Also Sprach Zarathustra!
Intended uses & limitations
The main intended use & limitation is to give a birth of a dancing star!
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 256
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.3356
2.0870
120
3.4775
0.0000
0.1808
4.1739
240
4.0972
0.0
Framework versions
Transformers 4.43.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
