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

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: 0.0027
- Rewards/real: -3.8149
- Rewards/generated: -24.3554
- Rewards/accuracies: 1.0
- Rewards/margins: 20.5405
- Logps/generated: -336.8123
- Logps/real: -163.0993
- Logits/generated: -2.3894
- Logits/real: -1.8917

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0085        | 0.1   | 100  | 0.0130          | 0.5228       | -9.3297           | 1.0                | 9.8526          | -186.5559       | -119.7219  | -2.7911          | -2.5502     |
| 0.0041        | 0.21  | 200  | 0.0070          | -0.1706      | -14.7969          | 1.0                | 14.6263         | -241.2277       | -126.6563  | -2.6228          | -2.2904     |
| 0.0007        | 0.31  | 300  | 0.0073          | -2.7706      | -22.3901          | 0.9974             | 19.6195         | -317.1598       | -152.6565  | -2.4825          | -1.9073     |
| 0.0049        | 0.41  | 400  | 0.0044          | -2.9093      | -19.4947          | 1.0                | 16.5854         | -288.2053       | -154.0429  | -2.6010          | -2.2355     |
| 0.001         | 0.52  | 500  | 0.0050          | -1.5600      | -21.7213          | 1.0                | 20.1614         | -310.4720       | -140.5501  | -2.5715          | -2.2758     |
| 0.0004        | 0.62  | 600  | 0.0029          | -2.4635      | -24.2161          | 1.0                | 21.7526         | -335.4198       | -149.5852  | -2.4626          | -2.0545     |
| 0.0004        | 0.72  | 700  | 0.0034          | -1.9810      | -20.7429          | 1.0                | 18.7619         | -300.6877       | -144.7602  | -2.4823          | -2.0980     |
| 0.0003        | 0.83  | 800  | 0.0034          | -4.2857      | -23.6128          | 1.0                | 19.3270         | -329.3861       | -167.8074  | -2.3861          | -1.8496     |
| 0.0003        | 0.93  | 900  | 0.0027          | -3.8149      | -24.3554          | 1.0                | 20.5405         | -336.8123       | -163.0993  | -2.3894          | -1.8917     |


### Framework versions

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