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clembench-playpen/
Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps

Name: Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps
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Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps

This model is a fine-tuned version of unsloth/qwen2.5-coder-32b-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: 4
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: 1700

Training Loss	Epoch	Step	Validation Loss
0.0006	0.0565	100	2.3866
0.001	0.1130	200	2.3386
0.0009	0.1695	300	2.4257
0.0007	0.2260	400	2.4474
0.001	0.2825	500	2.5487
0.0008	0.3390	600	2.5405
0.0009	0.3955	700	2.5610
0.0017	0.4520	800	2.5255
0.0008	0.5085	900	2.5441
0.0007	0.5650	1000	2.6643
0.0006	0.6215	1100	2.7327
0.0006	0.6780	1200	2.7778
0.0008	0.7345	1300	2.6578
0.0006	0.7910	1400	2.6902
0.001	0.8475	1500	2.6243
0.0009	0.9040	1600	2.6423
0.0008	0.9605	1700	2.6435