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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 |