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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen2.5-7B |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: qwen |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# qwen |
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This model is a fine-tuned version of [/remote-home1/yli/Model/Generator/Qwen2.5/7B/base](https://huggingface.co//remote-home1/yli/Model/Generator/Qwen2.5/7B/base) on the 2wikimultihopqa_train, the hotpotqa_train and the musique_train datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1620 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1654 | 0.3994 | 500 | 0.1538 | |
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| 0.1531 | 0.7987 | 1000 | 0.1395 | |
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| 0.0938 | 1.1981 | 1500 | 0.1406 | |
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| 0.0948 | 1.5974 | 2000 | 0.1360 | |
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| 0.0844 | 1.9968 | 2500 | 0.1315 | |
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| 0.0418 | 2.3962 | 3000 | 0.1611 | |
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| 0.0379 | 2.7955 | 3500 | 0.1621 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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