---
license: apache-2.0
base_model: plaguss/zephyr-7b-spin-iter1-v0
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- argilla/10k_prompts_SPIN_iter1_zephyr_top
- argilla/10k_prompts_SPIN_iter2_zephyr_top
model-index:
- name: outputs
  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. -->

# outputs

This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter1-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter1-v0) on the argilla/10k_prompts_SPIN_iter1_zephyr_top and the argilla/10k_prompts_SPIN_iter2_zephyr_top datasets.
It achieves the following results on the evaluation set:
- Loss: 0.1253
- Rewards/real: -0.5683
- Rewards/generated: -4.9538
- Rewards/accuracies: 0.9479
- Rewards/margins: 4.3854
- Logps/generated: -739.3701
- Logps/real: -278.2851
- Logits/generated: -2.8430
- Logits/real: -2.8375

## 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: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 5.8769        | 0.49  | 25   | 0.1890          | -0.1680      | -2.9833           | 0.9375             | 2.8153          | -719.6649       | -274.2817  | -2.7940          | -2.8382     |
| 0.1202        | 0.97  | 50   | 0.1440          | -0.4164      | -4.2256           | 0.9479             | 3.8092          | -732.0879       | -276.7652  | -2.8395          | -2.8439     |
| 0.0754        | 1.46  | 75   | 0.1298          | -0.5468      | -4.7565           | 0.9583             | 4.2097          | -737.3973       | -278.0700  | -2.8411          | -2.8388     |
| 0.0621        | 1.94  | 100  | 0.1253          | -0.5683      | -4.9538           | 0.9479             | 4.3854          | -739.3701       | -278.2851  | -2.8430          | -2.8375     |


### Framework versions

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