| | ---
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| | library_name: transformers
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| | license: other
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| | base_model: Qwen/Qwen2.5-1.5B-Instruct
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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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| | language:
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| | - zho
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| | - eng
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| | - fra
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| | - spa
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| | - por
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| | - deu
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| | - ita
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| | - rus
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| | - jpn
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| | - kor
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| | - vie
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| | - tha
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| | - ara
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| | model-index:
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| | - name: Qwen2.5-1.5B-Instruct-all-new
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| | results: []
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| | ---
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # Qwen2.5-1.5B-Instruct-all-new
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| |
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| | This model is a fine-tuned version of [/ssd1/models/Qwen2.5-1.5B-Instruct/](https://huggingface.co//ssd1/models/Qwen2.5-1.5B-Instruct/) on the papertrain dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.5940
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 1e-05
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| | - train_batch_size: 1
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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: 4
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| | - gradient_accumulation_steps: 4
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| | - total_train_batch_size: 16
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| | - total_eval_batch_size: 4
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| | - optimizer: Use 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: 2.0
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| |
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| | ### Training results
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| |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.48.3
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| | - Pytorch 2.5.1+cu124
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| | - Datasets 3.1.0
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| | - Tokenizers 0.21.0
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| | |
