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16-clusters-balanced-7 – AI Model by MHGanainy | AlphaNeural AI
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16-clusters-balanced-7
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openai-community/gpt2-xl
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16-clusters-balanced-7
This model is a fine-tuned version of
openai-community/gpt2-xl
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9035
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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 300
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
