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gpt2-samsum-lora – AI Model by Mycsina | AlphaNeural AI
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gpt2-samsum-lora
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peft
safetensors
adapter
lora
transformers
text-generation
openai-community/gpt2
adapter
mit
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gpt2-samsum-lora
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8232
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.9319
1.0
921
1.8714
1.9389
2.0
1842
1.8335
1.8900
3.0
2763
1.8232
Framework versions
PEFT 0.19.1
Transformers 5.12.0
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
