transformers safetensors llama text-generation trl dpo generated_from_trainer conversational base_model:meta-llama/Llama-2-7b-chat-hf autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: chat_1000STEPS_1e7_03beta_DPO
  results: []
---

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# chat_1000STEPS_1e7_03beta_DPO

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6902
- Rewards/chosen: -0.0000
- Rewards/rejected: -0.0069
- Rewards/accuracies: 0.4681
- Rewards/margins: 0.0069
- Logps/rejected: -18.8144
- Logps/chosen: -16.7447
- Logits/rejected: -0.5973
- Logits/chosen: -0.5972

## 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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6935        | 0.2   | 100  | 0.6925          | -0.0035        | -0.0055          | 0.4286             | 0.0019          | -18.8094       | -16.7564     | -0.5969         | -0.5967       |
| 0.6934        | 0.39  | 200  | 0.6911          | 0.0022         | -0.0027          | 0.4615             | 0.0049          | -18.8003       | -16.7374     | -0.5979         | -0.5977       |
| 0.6882        | 0.59  | 300  | 0.6929          | -0.0047        | -0.0060          | 0.4330             | 0.0013          | -18.8112       | -16.7601     | -0.5973         | -0.5972       |
| 0.6896        | 0.78  | 400  | 0.6907          | -0.0013        | -0.0070          | 0.4615             | 0.0057          | -18.8147       | -16.7490     | -0.5982         | -0.5981       |
| 0.6877        | 0.98  | 500  | 0.6904          | 0.0012         | -0.0051          | 0.4923             | 0.0063          | -18.8082       | -16.7405     | -0.5972         | -0.5971       |
| 0.6829        | 1.17  | 600  | 0.6903          | -0.0020        | -0.0085          | 0.4703             | 0.0066          | -18.8198       | -16.7511     | -0.5976         | -0.5975       |
| 0.6832        | 1.37  | 700  | 0.6904          | -0.0032        | -0.0097          | 0.4593             | 0.0064          | -18.8236       | -16.7554     | -0.5971         | -0.5970       |
| 0.6802        | 1.56  | 800  | 0.6889          | -0.0010        | -0.0105          | 0.4923             | 0.0096          | -18.8263       | -16.7478     | -0.5979         | -0.5978       |
| 0.6826        | 1.76  | 900  | 0.6897          | -0.0009        | -0.0088          | 0.4769             | 0.0079          | -18.8206       | -16.7475     | -0.5972         | -0.5971       |
| 0.6761        | 1.95  | 1000 | 0.6902          | -0.0000        | -0.0069          | 0.4681             | 0.0069          | -18.8144       | -16.7447     | -0.5973         | -0.5972       |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
