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_1e6_03beta_DPO
  results: []
---

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# chat_1000STEPS_1e6_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: 0.6804
- Rewards/chosen: -0.5183
- Rewards/rejected: -0.7327
- Rewards/accuracies: 0.5363
- Rewards/margins: 0.2144
- Logps/rejected: -21.2336
- Logps/chosen: -18.4723
- Logits/rejected: -0.6767
- Logits/chosen: -0.6766

## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6885        | 0.2   | 100  | 0.6933          | -0.2467        | -0.2660          | 0.4637             | 0.0193          | -19.6779       | -17.5670     | -0.6067         | -0.6066       |
| 0.683         | 0.39  | 200  | 0.6859          | 0.0215         | -0.0664          | 0.4923             | 0.0879          | -19.0127       | -16.6730     | -0.6150         | -0.6148       |
| 0.6033        | 0.59  | 300  | 0.6999          | -0.1969        | -0.2977          | 0.4791             | 0.1009          | -19.7837       | -17.4008     | -0.6311         | -0.6309       |
| 0.6812        | 0.78  | 400  | 0.6942          | -0.0785        | -0.2126          | 0.4813             | 0.1340          | -19.4998       | -17.0064     | -0.6041         | -0.6039       |
| 0.6633        | 0.98  | 500  | 0.6789          | -0.1266        | -0.2799          | 0.5077             | 0.1533          | -19.7242       | -17.1665     | -0.5557         | -0.5555       |
| 0.2615        | 1.17  | 600  | 0.6788          | -0.4082        | -0.6084          | 0.5253             | 0.2002          | -20.8192       | -18.1052     | -0.6281         | -0.6279       |
| 0.3175        | 1.37  | 700  | 0.6809          | -0.4980        | -0.7087          | 0.5297             | 0.2107          | -21.1536       | -18.4046     | -0.6655         | -0.6653       |
| 0.2805        | 1.56  | 800  | 0.6794          | -0.5125        | -0.7293          | 0.5341             | 0.2169          | -21.2224       | -18.4529     | -0.6754         | -0.6753       |
| 0.3255        | 1.76  | 900  | 0.6807          | -0.5148        | -0.7297          | 0.5385             | 0.2149          | -21.2235       | -18.4605     | -0.6768         | -0.6766       |
| 0.2966        | 1.95  | 1000 | 0.6804          | -0.5183        | -0.7327          | 0.5363             | 0.2144          | -21.2336       | -18.4723     | -0.6767         | -0.6766       |


### Framework versions

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