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--- |
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license: other |
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base_model: microsoft/phi-2 |
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tags: |
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- llama-factory |
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- generated_from_trainer |
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model-index: |
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- name: _saves_phi-2_full |
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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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# _saves_phi-2_full |
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This model is a fine-tuned version of [/home/cdsw/llama-factory/_saves_phi-2_full_resume/tmp-checkpoint-18000/](https://huggingface.co//home/cdsw/llama-factory/_saves_phi-2_full_resume/tmp-checkpoint-18000/) on the kqa_parsed-tree_train_complex.json dataset. |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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