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---
license: mit
base_model: microsoft/Phi-3-small-8k-instruct
tags:
- generated_from_trainer
model-index:
- name: phi3-spin-zephyr-data
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. -->
# phi3-spin-zephyr-data
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1643
- Rewards/real: -4.3165
- Rewards/generated: -36.8197
- Rewards/accuracies: 0.9626
- Rewards/margins: 32.5032
- Logps/generated: -659.6320
- Logps/real: -295.5523
- Logits/generated: -inf
- Logits/real: -inf
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.3303 | 0.32 | 500 | 0.2003 | -4.8459 | -23.8426 | 0.9371 | 18.9967 | -529.8613 | -300.8461 | -inf | -inf |
| 0.0933 | 0.64 | 1000 | 0.1598 | -4.6590 | -34.8525 | 0.9610 | 30.1935 | -639.9600 | -298.9768 | -inf | -inf |
| 0.2065 | 0.96 | 1500 | 0.1643 | -4.3165 | -36.8197 | 0.9626 | 32.5032 | -659.6320 | -295.5523 | -inf | -inf |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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