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Qwen2-1.5B-Instruct-Finetune-LoRA – AI Model by farpluto | AlphaNeural AI
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Qwen2-1.5B-Instruct-Finetune-LoRA
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peft
safetensors
trl
sft
generated_from_trainer
generator
Qwen/Qwen2-1.5B
adapter
apache-2.0
us
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Qwen2-1.5B-Instruct-Finetune-LoRA
This model is a fine-tuned version of
Qwen/Qwen2-1.5B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.1999
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: 8
eval_batch_size: 8
seed: 2503
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1454
0.7878
2000
0.1760
0.0836
1.5756
4000
0.1999
Framework versions
PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
