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seccret444/
qwen-skripsi-final-v4

Name: qwen-skripsi-final-v4
Availability: InStock

Qwen/Qwen2.5-Coder-1.5B-Instruct

apache-2.0

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qwen-skripsi-final-v4

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4995

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: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8818	0.3527	50	0.7546
0.6248	0.7055	100	0.6158
0.6068	1.0564	150	0.5614
0.5275	1.4092	200	0.5341
0.4907	1.7619	250	0.5171
0.452	2.1129	300	0.5090
0.4726	2.4656	350	0.5019
0.4594	2.8183	400	0.4995

Framework versions

PEFT 0.18.1
Transformers 4.57.5
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.2

seccret444/qwen-skripsi-final-v4

qwen-skripsi-final-v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

seccret444/
qwen-skripsi-final-v4