---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama2-spin-llama2-data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2-spin-llama2-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: 0.0006
- Rewards/real: 2.2530
- Rewards/generated: -19.7401
- Rewards/accuracies: 1.0
- Rewards/margins: 21.9931
- Logps/generated: -369.5714
- Logps/real: -156.9775
- Logits/generated: -0.1105
- Logits/real: -0.5282

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.0006        | 0.29  | 500  | 0.0024          | 1.7596       | -12.5613          | 1.0                | 14.3209         | -297.7838       | -161.9117  | -0.0675          | -0.5573     |
| 0.0003        | 0.58  | 1000 | 0.0013          | 2.3476       | -16.6356          | 1.0                | 18.9832         | -338.5269       | -156.0320  | -0.0887          | -0.5339     |
| 0.0002        | 0.87  | 1500 | 0.0006          | 2.2530       | -19.7401          | 1.0                | 21.9931         | -369.5714       | -156.9775  | -0.1105          | -0.5282     |


### Framework versions

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