---
license: mit
base_model: microsoft/Phi-3-small-8k-instruct
tags:
- generated_from_trainer
model-index:
- name: phi3-spin-Llama2-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-Llama2-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: 0.0005
- Rewards/real: 0.7586
- Rewards/generated: -92.4366
- Rewards/accuracies: 1.0
- Rewards/margins: 93.1952
- Logps/generated: -1271.4552
- Logps/real: -248.8362
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0901        | 0.29  | 500  | 0.0191          | -0.2438      | -52.9080          | 0.9922             | 52.6642         | -876.1692       | -258.8595  | -inf             | -inf        |
| 0.0024        | 0.58  | 1000 | 0.0014          | 1.6797       | -78.7354          | 1.0                | 80.4151         | -1134.4436      | -239.6249  | -inf             | -inf        |
| 0.0926        | 0.87  | 1500 | 0.0005          | 0.7586       | -92.4366          | 1.0                | 93.1952         | -1271.4552      | -248.8362  | -inf             | -inf        |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2