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llama-pretrained – AI Model by linhanhvlog123 | AlphaNeural AI
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linhanhvlog123
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llama-pretrained
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tensorboard
safetensors
llama
generated_from_trainer
meta-llama/Llama-3.2-1B
finetune
llama3.2
us
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llama-pretrained
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: 2.9543
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.8813
1.0
5121
2.9837
2.7702
2.0
10242
2.9523
2.7537
3.0
15363
2.9543
Framework versions
Transformers 4.43.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.19.1
