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qwen-fine-tuned-by-teacoder – AI Model by Kashaf212 | AlphaNeural AI
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Kashaf212
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qwen-fine-tuned-by-teacoder
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peft
tensorboard
safetensors
qwen2
trl
sft
generated_from_trainer
Qwen/Qwen1.5-1.8B
adapter
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4-bit
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qwen-fine-tuned-by-teacoder
This model is a fine-tuned version of
Qwen/Qwen1.5-1.8B
on an unknown dataset.
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Framework versions
PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
