Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qwen_2.5_7b_sft – AI Model by yijiexu | AlphaNeural AI
You can deploy this model and start earning money today!
yijiexu
/
qwen_2.5_7b_sft
like
0
transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
sft
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the cv dataset. It achieves the following results on the evaluation set:
Loss: 0.2128
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 2
total_train_batch_size: 12
total_eval_batch_size: 6
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
