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Qwen2.5-Coder-7B-Instruct-light-finetuned-v1 – AI Model by vg-sentry | AlphaNeural AI
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Qwen2.5-Coder-7B-Instruct-light-finetuned-v1
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peft
safetensors
adapter
lora
transformers
text-generation
Qwen/Qwen2.5-Coder-7B-Instruct
apache-2.0
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Qwen2.5-Coder-7B-Instruct-light-finetuned-v1
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-7B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1487
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.1558
1.0
14160
2.2381
2.0905
2.0
28320
2.1691
2.1028
3.0
42480
2.1487
Framework versions
PEFT 0.17.0
Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
