---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: zephyr-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. -->

# zephyr-spin-phi3-data

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/real: 0.3501
- Rewards/generated: -23.8099
- Rewards/accuracies: 1.0
- Rewards/margins: 24.1600
- Logps/generated: -916.0912
- Logps/real: -130.5047
- Logits/generated: -2.8901
- Logits/real: -2.6092

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0           | 0.32  | 500  | 0.0001          | 0.3931       | -14.9119          | 1.0                | 15.3050         | -827.1113       | -130.0747  | -2.7616          | -2.7055     |
| 0.0           | 0.64  | 1000 | 0.0000          | 0.4203       | -16.5266          | 1.0                | 16.9469         | -843.2585       | -129.8029  | -2.8325          | -2.7464     |
| 0.0           | 0.96  | 1500 | 0.0000          | 0.3501       | -23.8099          | 1.0                | 24.1600         | -916.0912       | -130.5047  | -2.8901          | -2.6092     |


### Framework versions

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