---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- argilla/10k_prompts_SPIN_iter0_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 [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the argilla/10k_prompts_SPIN_iter0_zephyr_top dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2359
- Rewards/real: 1.3255
- Rewards/generated: -0.8966
- Rewards/accuracies: 0.9792
- Rewards/margins: 2.2221
- Logps/generated: -309.8145
- Logps/real: -304.9670
- Logits/generated: -2.7558
- Logits/real: -2.7547

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.3011        | 0.96  | 25   | 0.2442          | 1.1606       | -0.9851           | 0.9792             | 2.1457          | -310.6989       | -306.6157  | -2.7644          | -2.7641     |
| 0.0376        | 1.92  | 50   | 0.2359          | 1.3255       | -0.8966           | 0.9792             | 2.2221          | -309.8145       | -304.9670  | -2.7558          | -2.7547     |


### Framework versions

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