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lora_poker_model – AI Model by SoAnVa | AlphaNeural AI
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SoAnVa
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lora_poker_model
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peft
safetensors
generated_from_trainer
HuggingFaceTB/SmolLM2-135M
adapter
apache-2.0
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lora_poker_model
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-135M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1600
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: 16
eval_batch_size: 16
seed: 42
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.1665
1.0
2949
0.1634
0.1594
2.0
5898
0.1600
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
