| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: Qwen/Qwen2.5-7B-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: liger_test
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| 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. -->
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|
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| # liger_test
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|
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| This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/mix_base_code_math_t_0_5 dataset.
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|
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| ## Model description
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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: 8
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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: 12
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| - total_train_batch_size: 96
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| - total_eval_batch_size: 64
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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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|
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| ### Training results
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| ### Framework versions
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| - Transformers 4.46.1
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| - Pytorch 2.3.0
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| - Datasets 3.1.0
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| - Tokenizers 0.20.3
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|
