transformers safetensors llama text-generation trl dpo generated_from_trainer 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_200STEPS_1e6_01beta
  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. -->

# chat_200STEPS_1e6_01beta

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: 0.6840
- Rewards/chosen: -0.0632
- Rewards/rejected: -0.0877
- Rewards/accuracies: 0.4637
- Rewards/margins: 0.0245
- Logps/rejected: -19.6678
- Logps/chosen: -17.3765
- Logits/rejected: -0.6331
- Logits/chosen: -0.6330

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6939        | 0.1   | 50   | 0.6917          | -0.0037        | -0.0069          | 0.4901             | 0.0032          | -18.8600       | -16.7813     | -0.5975         | -0.5973       |
| 0.6902        | 0.2   | 100  | 0.6919          | -0.1261        | -0.1323          | 0.4440             | 0.0063          | -20.1147       | -18.0054     | -0.6143         | -0.6142       |
| 0.691         | 0.29  | 150  | 0.6846          | -0.0911        | -0.1153          | 0.4615             | 0.0242          | -19.9439       | -17.6551     | -0.6419         | -0.6418       |
| 0.6838        | 0.39  | 200  | 0.6840          | -0.0632        | -0.0877          | 0.4637             | 0.0245          | -19.6678       | -17.3765     | -0.6331         | -0.6330       |


### Framework versions

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