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results – AI Model by marschub | AlphaNeural AI
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marschub
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results
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B
adapter
llama3.2
us
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results
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 16
eval_batch_size: 8
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.6747
0.1593
500
nan
0.0
0.3187
1000
nan
0.0
0.4780
1500
nan
0.0
0.6373
2000
nan
0.0
0.7967
2500
nan
0.0
0.9560
3000
nan
Framework versions
PEFT 0.13.3.dev0
Transformers 4.48.0.dev0
Pytorch 2.3.1.post100
Datasets 3.1.0
Tokenizers 0.21.0
