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--- |
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license: mit |
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base_model: microsoft/Phi-3-small-8k-instruct |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- AmberYifan/spin-v |
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model-index: |
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- name: phi3-spin-zephyr-data |
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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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# phi3-spin-zephyr-data |
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This model is a fine-tuned version of [microsoft/Phi-3-small-8k-instruct](https://huggingface.co/microsoft/Phi-3-small-8k-instruct) on the AmberYifan/spin-v dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1748 |
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- Rewards/real: -6.0641 |
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- Rewards/generated: -21.7894 |
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- Rewards/accuracies: 0.9443 |
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- Rewards/margins: 15.7252 |
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- Logps/generated: -509.3286 |
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- Logps/real: -313.0280 |
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- Logits/generated: -inf |
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- Logits/real: -inf |
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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: 5e-07 |
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- train_batch_size: 8 |
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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: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:| |
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| 0.2945 | 0.64 | 500 | 0.1748 | -6.0641 | -21.7894 | 0.9443 | 15.7252 | -509.3286 | -313.0280 | -inf | -inf | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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