---
license: mit
base_model: microsoft/Phi-3-small-8k-instruct
tags:
- generated_from_trainer
model-index:
- name: phi3-spin-phi3-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-phi3-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: 0.0000
- Rewards/real: -20.4314
- Rewards/generated: -59.7851
- Rewards/accuracies: 1.0
- Rewards/margins: 39.3538
- Logps/generated: -1415.6521
- Logps/real: -459.2887
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0013        | 0.32  | 500  | 0.0028          | -15.0276     | -43.9108          | 1.0                | 28.8832         | -1256.9089      | -405.2515  | -inf             | -inf        |
| 0.0007        | 0.64  | 1000 | 0.0001          | -20.5002     | -56.1393          | 1.0                | 35.6391         | -1379.1938      | -459.9772  | -inf             | -inf        |
| 0.0081        | 0.96  | 1500 | 0.0000          | -20.4314     | -59.7851          | 1.0                | 39.3538         | -1415.6521      | -459.2887  | -inf             | -inf        |


### Framework versions

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