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Llama3-20240602-bare – AI Model by Nhut | AlphaNeural AI
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Llama3-20240602-bare
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peft
safetensors
trl
sft
generated_from_trainer
generator
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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Llama3-20240602-bare
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.2990
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: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 80
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.1356
40
1.3427
No log
0.2712
80
1.2990
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
