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gpt2-xl-lora-multi – AI Model by MHGanainy | AlphaNeural AI
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MHGanainy
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gpt2-xl-lora-multi
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peft
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openai-community/gpt2-xl
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gpt2-xl-lora-multi
This model is a fine-tuned version of
openai-community/gpt2-xl
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1721
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: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
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: 38954
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
