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_150STEPS_1e7rate_01beta
  results: []
---

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# chat_150STEPS_1e7rate_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: 0.6933
- Rewards/chosen: -0.0025
- Rewards/rejected: -0.0022
- Rewards/accuracies: 0.4022
- Rewards/margins: -0.0003
- Logps/rejected: -18.8131
- Logps/chosen: -16.7695
- Logits/rejected: -0.5968
- Logits/chosen: -0.5967

## 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6931        | 0.1   | 50   | 0.6934          | -0.0010        | -0.0005          | 0.4110             | -0.0005         | -18.7964       | -16.7546     | -0.5967         | -0.5965       |
| 0.6923        | 0.2   | 100  | 0.6935          | -0.0018        | -0.0012          | 0.4044             | -0.0006         | -18.8033       | -16.7622     | -0.5978         | -0.5977       |
| 0.6939        | 0.29  | 150  | 0.6933          | -0.0025        | -0.0022          | 0.4022             | -0.0003         | -18.8131       | -16.7695     | -0.5968         | -0.5967       |


### Framework versions

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