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llama3-8b_sa_v0.1 – AI Model by langgptai | AlphaNeural AI
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llama3-8b_sa_v0.1
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llama-factory
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meta-llama/Meta-Llama-3-8B-Instruct
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LangGPT
This model is a fine-tuned version of
/datas/huggingface/Meta-Llama-3-8B-Instruct
on the LangGPT dataset. It achieves the following results on the evaluation set:
Loss: 0.7564
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: 12
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 9.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8441
1.25
100
0.8462
0.7829
2.5
200
0.7942
0.747
3.75
300
0.7737
0.7507
5.0
400
0.7637
0.7327
6.25
500
0.7590
0.7331
7.5
600
0.7569
0.7396
8.75
700
0.7564
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.19.1
