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custom_accelerate-Qwen1.5b-20k-wd-warmup-same-as-nemo – AI Model by sravanthib | AlphaNeural AI
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sravanthib
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custom_accelerate-Qwen1.5b-20k-wd-warmup-same-as-nemo
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2-1.5B-Instruct
apache-2.0
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custom_accelerate-Qwen1.5b-20k-wd-warmup-same-as-nemo
This model is a fine-tuned version of
Qwen/Qwen2-1.5B-Instruct
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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
lr_scheduler_warmup_steps: 50
training_steps: 1000
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.3.0+cu121
Datasets 2.15.0
Tokenizers 0.21.2
