---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama2-spin-zephyr-data
  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. -->

# llama2-spin-zephyr-data

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0032
- Rewards/real: -1.5322
- Rewards/generated: -20.8812
- Rewards/accuracies: 0.9992
- Rewards/margins: 19.3491
- Logps/generated: -369.1998
- Logps/real: -194.6499
- Logits/generated: 0.0527
- Logits/real: -0.5587

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0098        | 0.32  | 500  | 0.0108          | -0.7647      | -14.3850          | 0.9976             | 13.6202         | -304.2368       | -186.9758  | 0.0151           | -0.6190     |
| 0.0019        | 0.64  | 1000 | 0.0044          | -1.7759      | -21.6593          | 0.9984             | 19.8833         | -376.9800       | -197.0876  | 0.0480           | -0.5656     |
| 0.0009        | 0.96  | 1500 | 0.0032          | -1.5322      | -20.8812          | 0.9992             | 19.3491         | -369.1998       | -194.6499  | 0.0527           | -0.5587     |


### Framework versions

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