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llama-3.1-8B-Instruct-multi-step-collator_playpen_SFT-e3_DFINAL_0.7K-steps – AI Model by clembench-playpen | AlphaNeural AI
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llama-3.1-8B-Instruct-multi-step-collator_playpen_SFT-e3_DFINAL_0.7K-steps
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peft
tensorboard
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unsloth
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llama3.1
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llama-3.1-8B-Instruct-multi-step-collator_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: 0.5390
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: 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
0.618
0.0565
100
0.6787
0.4581
0.1130
200
0.6446
0.4642
0.1695
300
0.6052
0.4521
0.2260
400
0.5808
0.3878
0.2825
500
0.5435
0.5106
0.3390
600
0.5497
0.3292
0.3955
700
0.5390
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.21.0
