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Llama-3.2-1B-Instruct-ald – AI Model by quandh155 | AlphaNeural AI
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Llama-3.2-1B-Instruct-ald
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peft
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meta-llama/Llama-3.2-1B-Instruct
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llama3.2
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Llama-3.2-1B-Instruct-ald
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.4828
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 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
No log
1.0
1
6.4828
No log
2.0
2
6.4828
No log
3.0
3
6.4828
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
