---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: spin-margin2
  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. -->

# spin-margin2

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: 0.0010
- Rewards/real: -0.7975
- Rewards/generated: -20.4822
- Rewards/accuracies: 1.0
- Rewards/margins: 19.6846
- Logps/generated: -303.8466
- Logps/real: -141.0674
- Logits/generated: -2.6068
- Logits/real: -2.3492

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0043        | 0.19  | 100  | 0.0049          | 0.9120       | -9.6012           | 1.0                | 10.5132         | -195.0367       | -123.9721  | -2.7982          | -2.5652     |
| 0.0034        | 0.39  | 200  | 0.0024          | -0.0739      | -14.1834          | 1.0                | 14.1095         | -240.8593       | -133.8314  | -2.8109          | -2.5347     |
| 0.0007        | 0.58  | 300  | 0.0012          | -0.2381      | -16.9127          | 1.0                | 16.6746         | -268.1524       | -135.4731  | -2.7308          | -2.4046     |
| 0.0016        | 0.78  | 400  | 0.0010          | -1.1878      | -19.5719          | 1.0                | 18.3841         | -294.7439       | -144.9703  | -2.6559          | -2.3917     |
| 0.0001        | 0.97  | 500  | 0.0010          | -0.7975      | -20.4822          | 1.0                | 19.6846         | -303.8466       | -141.0674  | -2.6068          | -2.3492     |


### Framework versions

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