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gpt2-qlora-wp – AI Model by mnj-hf | AlphaNeural AI
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gpt2-qlora-wp
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peft
safetensors
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openai-community/gpt2
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gpt2-qlora-wp
This model is a fine-tuned version of
openai-community/gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.1175
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2863
1.0
2500
3.1359
3.2275
2.0
5000
3.1217
3.2517
3.0
7500
3.1175
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
