Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
cold-call-agent-7b – AI Model by Abeee32t | AlphaNeural AI
You can deploy this model and start earning money today!
Abeee32t
/
cold-call-agent-7b
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-7B-Instruct
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
cold-call-agent-7b
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
