---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: spin-v-high-loss
  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-v-high-loss

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: 0.0069
- Rewards/real: -10.1415
- Rewards/generated: -55.1541
- Rewards/accuracies: 1.0
- Rewards/margins: 45.0126
- Logps/generated: -5640.6729
- Logps/real: -1151.2217
- Logits/generated: 3.0744
- Logits/real: 1.9177

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0717        | 0.13  | 50   | 0.0490          | -3.1258      | -37.3431          | 0.9907             | 34.2173         | -3859.5708      | -449.6532  | 3.4831           | 1.9303      |
| 0.0323        | 0.27  | 100  | 0.0300          | -3.9959      | -38.8380          | 0.9973             | 34.8421         | -4009.0552      | -536.6592  | -0.0155          | -0.1626     |
| 0.026         | 0.4   | 150  | 0.0158          | -8.2107      | -50.0493          | 0.9947             | 41.8386         | -5130.1880      | -958.1443  | 1.0207           | 1.0071      |
| 0.0106        | 0.53  | 200  | 0.0087          | -9.2505      | -61.7325          | 0.9960             | 52.4820         | -6298.5093      | -1062.1265 | 2.2349           | 1.2992      |
| 0.0071        | 0.67  | 250  | 0.0106          | -11.4051     | -49.3118          | 0.9987             | 37.9067         | -5056.4409      | -1277.5874 | 2.8798           | 3.2925      |
| 0.0121        | 0.8   | 300  | 0.0074          | -9.0224      | -49.1152          | 1.0                | 40.0928         | -5036.7827      | -1039.3110 | 2.8713           | 2.6792      |
| 0.0013        | 0.93  | 350  | 0.0069          | -10.1415     | -55.1541          | 1.0                | 45.0126         | -5640.6729      | -1151.2217 | 3.0744           | 1.9177      |


### Framework versions

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