| | ---
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| | library_name: transformers
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| | license: other
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| | tags:
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| | - freeze
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| | model-index:
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| | - name: phi3.5-pro-10-08
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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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| | # phi3.5-pro-10-08
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| |
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| | This model is a fine-tuned version of [E:\mergekit\phi3.5-pro](https://huggingface.co/E:\mergekit\phi3.5-pro) on the Magpie_Qwen2_Pro_300k and the Magpie_Llama_3.1_Pro_MT_300k datasets.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.8538
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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: 0.0001
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| | - train_batch_size: 2
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| | - eval_batch_size: 2
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| | - seed: 42
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| | - gradient_accumulation_steps: 8
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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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| | - training_steps: 1000
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| | - mixed_precision_training: Native AMP
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:------:|:----:|:---------------:|
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| | | 0.7784 | 0.0080 | 100 | 0.8538 |
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| | | 0.8605 | 0.0160 | 200 | 0.8538 |
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| | | 0.8386 | 0.0240 | 300 | 0.8538 |
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| | | 0.8201 | 0.0320 | 400 | 0.8538 |
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| | | 0.8661 | 0.0400 | 500 | 0.8538 |
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| | | 0.776 | 0.0480 | 600 | 0.8538 |
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| | | 0.8377 | 0.0561 | 700 | 0.8538 |
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| | | 0.8541 | 0.0641 | 800 | 0.8538 |
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| | | 0.799 | 0.0721 | 900 | 0.8538 |
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| | | 0.8146 | 0.0801 | 1000 | 0.8538 |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.45.0
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| | - Pytorch 2.4.0+cu124
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| | - Datasets 2.21.0
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| | - Tokenizers 0.20.0
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| | |
