| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: Qwen/Qwen2.5-7B |
| | tags: |
| | - llama-factory |
| | - full |
| | - generated_from_trainer |
| | model-index: |
| | - name: qwen |
| | 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. --> |
| |
|
| | # qwen |
| |
|
| | This model is a fine-tuned version of [/inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/Qwen/Qwen2.5-7B](https://huggingface.co//inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/Qwen/Qwen2.5-7B) on the 2wikimultihopqa_train, the hotpotqa_train and the musique_train datasets. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1587 |
| | |
| | ## 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: 7e-06 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - 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: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.1713 | 0.3842 | 500 | 0.1614 | |
| | | 0.1549 | 0.7685 | 1000 | 0.1432 | |
| | | 0.0948 | 1.1527 | 1500 | 0.1415 | |
| | | 0.0846 | 1.5370 | 2000 | 0.1369 | |
| | | 0.0841 | 1.9212 | 2500 | 0.1317 | |
| | | 0.0375 | 2.3055 | 3000 | 0.1596 | |
| | | 0.0366 | 2.6897 | 3500 | 0.1586 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.1 |
| | - Pytorch 2.4.0 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| |
|
