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clembench-playpen/
llama-3.1-8B-Instruct-v1.6-only_playpen_SFT_DABL01

Name: llama-3.1-8B-Instruct-v1.6-only_playpen_SFT_DABL01
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llama-3.1-8B-Instruct-v1.6-only_playpen_SFT_DABL01

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:

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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: 0

Training Loss	Epoch	Step	Validation Loss
0.3207	0.1011	100	0.2489
0.2399	0.2022	200	0.1865
0.1972	0.3033	300	0.2032
0.1467	0.4044	400	0.1751
0.1349	0.5056	500	0.1736
0.1391	0.6067	600	0.1564
0.1148	0.7078	700	0.1650
0.1279	0.8089	800	0.1534
0.1072	0.9100	900	0.1526