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_05beta_DPO
  results: []
---

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# chat_1000STEPS_1e6_05beta_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: 0.7047
- Rewards/chosen: -0.5484
- Rewards/rejected: -0.8442
- Rewards/accuracies: 0.5319
- Rewards/margins: 0.2958
- Logps/rejected: -20.4796
- Logps/chosen: -17.8414
- Logits/rejected: -0.6334
- Logits/chosen: -0.6333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6923        | 0.2   | 100  | 0.6978          | -0.3692        | -0.4056          | 0.4549             | 0.0364          | -19.6025       | -17.4830     | -0.6054         | -0.6052       |
| 0.7106        | 0.39  | 200  | 0.7053          | 0.1136         | -0.0026          | 0.4791             | 0.1161          | -18.7964       | -16.5175     | -0.6058         | -0.6056       |
| 0.5991        | 0.59  | 300  | 0.7229          | -0.2199        | -0.3741          | 0.4879             | 0.1541          | -19.5394       | -17.1845     | -0.6117         | -0.6115       |
| 0.7082        | 0.78  | 400  | 0.7221          | -0.0056        | -0.1904          | 0.5033             | 0.1848          | -19.1721       | -16.7559     | -0.5870         | -0.5868       |
| 0.6684        | 0.98  | 500  | 0.7010          | -0.1029        | -0.3043          | 0.5275             | 0.2014          | -19.3998       | -16.9504     | -0.5454         | -0.5452       |
| 0.2004        | 1.17  | 600  | 0.6974          | -0.4104        | -0.6928          | 0.5341             | 0.2824          | -20.1768       | -17.5654     | -0.6005         | -0.6004       |
| 0.2715        | 1.37  | 700  | 0.7012          | -0.5147        | -0.8128          | 0.5429             | 0.2981          | -20.4169       | -17.7741     | -0.6258         | -0.6257       |
| 0.2303        | 1.56  | 800  | 0.7031          | -0.5366        | -0.8347          | 0.5341             | 0.2981          | -20.4606       | -17.8177     | -0.6321         | -0.6320       |
| 0.2729        | 1.76  | 900  | 0.7052          | -0.5480        | -0.8437          | 0.5341             | 0.2957          | -20.4787       | -17.8406     | -0.6333         | -0.6331       |
| 0.2621        | 1.95  | 1000 | 0.7047          | -0.5484        | -0.8442          | 0.5319             | 0.2958          | -20.4796       | -17.8414     | -0.6334         | -0.6333       |


### Framework versions

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