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results – AI Model by rawsun00001 | AlphaNeural AI
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
openai-community/gpt2
adapter
mit
us
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This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7737
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3491
0.4
500
1.0980
0.9806
0.8
1000
0.8535
0.9117
1.2
1500
0.8104
0.8753
1.6
2000
0.7913
0.8527
2.0
2500
0.7803
0.8426
2.4
3000
0.7756
0.8376
2.8
3500
0.7737
Framework versions
PEFT 0.16.0
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
