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_1e7rate_01beta_DPO
  results: []
---

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# chat_1000STEPS_1e7rate_01beta_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: 0.6919
- Rewards/chosen: -0.0000
- Rewards/rejected: -0.0027
- Rewards/accuracies: 0.4637
- Rewards/margins: 0.0027
- Logps/rejected: -18.8181
- Logps/chosen: -16.7447
- Logits/rejected: -0.5977
- Logits/chosen: -0.5976

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6923        | 0.2   | 100  | 0.6935          | -0.0018        | -0.0012          | 0.4044             | -0.0006         | -18.8033       | -16.7622     | -0.5978         | -0.5977       |
| 0.6937        | 0.39  | 200  | 0.6928          | -0.0003        | -0.0010          | 0.4505             | 0.0007          | -18.8010       | -16.7472     | -0.5978         | -0.5977       |
| 0.6901        | 0.59  | 300  | 0.6923          | -0.0008        | -0.0025          | 0.4527             | 0.0018          | -18.8166       | -16.7523     | -0.5969         | -0.5968       |
| 0.6912        | 0.78  | 400  | 0.6922          | 0.0001         | -0.0020          | 0.4549             | 0.0020          | -18.8109       | -16.7440     | -0.5982         | -0.5981       |
| 0.6912        | 0.98  | 500  | 0.6922          | 0.0001         | -0.0020          | 0.4813             | 0.0020          | -18.8108       | -16.7437     | -0.5979         | -0.5978       |
| 0.689         | 1.17  | 600  | 0.6920          | -0.0008        | -0.0033          | 0.4637             | 0.0025          | -18.8240       | -16.7525     | -0.5979         | -0.5978       |
| 0.6898        | 1.37  | 700  | 0.6916          | 0.0003         | -0.0029          | 0.5055             | 0.0032          | -18.8205       | -16.7416     | -0.5979         | -0.5977       |
| 0.6876        | 1.56  | 800  | 0.6921          | -0.0011        | -0.0033          | 0.4593             | 0.0022          | -18.8246       | -16.7559     | -0.5981         | -0.5979       |
| 0.6902        | 1.76  | 900  | 0.6917          | -0.0000        | -0.0030          | 0.4637             | 0.0030          | -18.8217       | -16.7450     | -0.5974         | -0.5973       |
| 0.6883        | 1.95  | 1000 | 0.6919          | -0.0000        | -0.0027          | 0.4637             | 0.0027          | -18.8181       | -16.7447     | -0.5977         | -0.5976       |


### Framework versions

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