| | --- |
| | library_name: peft |
| | base_model: RezolveAI/brainpowa-general-conversational-M-v1 |
| | tags: |
| | - base_model:adapter:RezolveAI/brainpowa-general-conversational-M-v1 |
| | - lora |
| | - transformers |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: qwen14b-multi-turn-R2 |
| | 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. --> |
| |
|
| | # qwen14b-multi-turn-R2 |
| |
|
| | This model is a fine-tuned version of [RezolveAI/brainpowa-general-conversational-M-v1](https://huggingface.co/RezolveAI/brainpowa-general-conversational-M-v1) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1976 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 8 |
| | - 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 |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.6472 | 0.1647 | 200 | 0.6514 | |
| | | 0.5717 | 0.3295 | 400 | 0.5779 | |
| | | 0.5236 | 0.4942 | 600 | 0.5135 | |
| | | 0.4373 | 0.6590 | 800 | 0.4592 | |
| | | 0.4455 | 0.8237 | 1000 | 0.4062 | |
| | | 0.4116 | 0.9885 | 1200 | 0.3598 | |
| | | 0.2866 | 1.1532 | 1400 | 0.3276 | |
| | | 0.2412 | 1.3180 | 1600 | 0.3039 | |
| | | 0.2561 | 1.4827 | 1800 | 0.2785 | |
| | | 0.2001 | 1.6474 | 2000 | 0.2585 | |
| | | 0.1716 | 1.8122 | 2200 | 0.2400 | |
| | | 0.1872 | 1.9769 | 2400 | 0.2259 | |
| | | 0.1347 | 2.1417 | 2600 | 0.2231 | |
| | | 0.153 | 2.3064 | 2800 | 0.2168 | |
| | | 0.1281 | 2.4712 | 3000 | 0.2102 | |
| | | 0.1226 | 2.6359 | 3200 | 0.2051 | |
| | | 0.1298 | 2.8007 | 3400 | 0.1993 | |
| | | 0.1161 | 2.9654 | 3600 | 0.1976 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.17.1 |
| | - Transformers 4.56.2 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.1.1 |
| | - Tokenizers 0.22.1 |
