---
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