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Se124M500KInfMinimalist – AI Model by augustocsc | AlphaNeural AI
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Se124M500KInfMinimalist
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peft
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openai-community/gpt2
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mit
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Se124M500KInfMinimalist
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5700
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: 32
eval_batch_size: 32
seed: 42
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: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1527
1.0
7035
0.5857
0.1485
2.0
14070
0.5736
0.1468
3.0
21105
0.5700
Framework versions
PEFT 0.15.1
Transformers 4.51.3
Pytorch 2.6.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1
