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llama-3.1-8B-Instruct-v1.6-only-full-precision-lora_v3_playpen_SFT-e3_DFINAL_0.7K-steps – AI Model by clembench-playpen | AlphaNeural AI
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clembench-playpen
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llama-3.1-8B-Instruct-v1.6-only-full-precision-lora_v3_playpen_SFT-e3_DFINAL_0.7K-steps
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
llama3.1
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llama-3.1-8B-Instruct-v1.6-only-full-precision-lora_v3_playpen_SFT-e3_DFINAL_0.7K-steps
This model is a fine-tuned version of
unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2431
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: 2
eval_batch_size: 8
seed: 7331
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 5
training_steps: 700
Training results
Training Loss
Epoch
Step
Validation Loss
0.3376
0.0282
100
0.3872
0.1895
0.0565
200
0.2897
0.1843
0.0847
300
0.2893
0.1782
0.1130
400
0.2575
0.2145
0.1412
500
0.2493
0.1922
0.1695
600
0.2432
0.1362
0.1977
700
0.2431
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.21.0