metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: ideaassistant_qwen2_7b
results: []
ideaassistant_qwen2_7b
This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct on the idea_sharegpt_format dataset. It achieves the following results on the evaluation set:
- Loss: 0.4394
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use 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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0484 | 0.0955 | 200 | 1.0037 |
| 0.9828 | 0.1910 | 400 | 0.9110 |
| 0.8785 | 0.2865 | 600 | 0.8167 |
| 0.7863 | 0.3820 | 800 | 0.7238 |
| 0.7073 | 0.4776 | 1000 | 0.6407 |
| 0.6143 | 0.5731 | 1200 | 0.5672 |
| 0.5726 | 0.6686 | 1400 | 0.5096 |
| 0.5623 | 0.7641 | 1600 | 0.4683 |
| 0.5206 | 0.8596 | 1800 | 0.4465 |
| 0.5054 | 0.9551 | 2000 | 0.4396 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0