| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-1.5B-Instruct |
| tags: |
| - base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct |
| - lora |
| - transformers |
| pipeline_tag: text-generation |
| model-index: |
| - name: cold-call-agent |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # cold-call-agent |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset. |
|
|
| ## Model description |
|
|
| More information needed |
|
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| ## Intended uses & limitations |
|
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| 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: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| ### Framework versions |
|
|
| - PEFT 0.18.1 |
| - Transformers 5.0.0 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
