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llama-3.1-8B-Instruct_playpen_ablation_SFT_DFINAL_0.2K-steps – AI Model by clembench-playpen | AlphaNeural AI
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llama-3.1-8B-Instruct_playpen_ablation_SFT_DFINAL_0.2K-steps
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unsloth
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llama-3.1-8B-Instruct_playpen_ablation_SFT_DFINAL_0.2K-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: 0.2630
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: 200
Training results
Training Loss
Epoch
Step
Validation Loss
0.297
0.0565
100
0.3208
0.1845
0.1130
200
0.2630
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.21.0