---
license: other
base_model: deepseek-ai/deepseek-llm-7b-chat
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- self-generate/ds_chat_original_cn_mining_oj_iter0-binarized
- self-generate/ds_chat_original_cn_mining_sandbox_iter0-binarized
- self-generate/ds_chat_original_cn_rl_oj_iter0-binarized
model-index:
- name: ds_chat_sppo_hard_cosine_iter0_2024-09-16-15.36
  results: []
---

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# ds_chat_sppo_hard_cosine_iter0_2024-09-16-15.36

This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat) on the self-generate/ds_chat_original_cn_mining_oj_iter0-binarized, the self-generate/ds_chat_original_cn_mining_sandbox_iter0-binarized and the self-generate/ds_chat_original_cn_rl_oj_iter0-binarized datasets.
It achieves the following results on the evaluation set:
- Loss: 5015.1294
- Rewards/chosen: 0.0190
- Rewards/rejected: 0.0069
- Rewards/accuracies: 0.2763
- Rewards/margins: 0.0121
- Logps/rejected: -63.1963
- Logps/chosen: -121.2494
- Logits/rejected: 1.7270
- Logits/chosen: 1.6680
- Debug/policy Chosen Logits: 1.6680
- Debug/policy Rejected Logits: 1.7270
- Debug/policy Chosen Logps: -121.2494
- Debug/policy Rejected Logps: -63.1963
- Debug/reference Chosen Logps: -123.1481
- Debug/reference Rejected Logps: -63.8871
- Debug/sppo Chosen Reward In Loss: 1.8986
- Debug/sppo Rej Reward In Loss: 0.6908
- Debug/sppo Chosen Loss: 2390.2883
- Debug/sppo Reject Loss: 2606.5542

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Debug/policy Chosen Logits | Debug/policy Rejected Logits | Debug/policy Chosen Logps | Debug/policy Rejected Logps | Debug/reference Chosen Logps | Debug/reference Rejected Logps | Debug/sppo Chosen Reward In Loss | Debug/sppo Rej Reward In Loss | Debug/sppo Chosen Loss | Debug/sppo Reject Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:------------------------------:|:--------------------------------:|:-----------------------------:|:----------------------:|:----------------------:|
| 4997.6852     | 0.3623 | 100  | 4986.5          | 0.0048         | 0.0025           | 0.3158             | 0.0023          | -63.6384       | -122.6674    | 1.7245          | 1.6633        | 1.6633                     | 1.7245                       | -122.6674                 | -63.6384                    | -123.1481                    | -63.8871                       | 0.4806                           | 0.2486                        | 2455.7412              | 2529.1592              |
| 5015.0652     | 0.7246 | 200  | 5015.1294       | 0.0190         | 0.0069           | 0.2763             | 0.0121          | -63.1963       | -121.2494    | 1.7270          | 1.6680        | 1.6680                     | 1.7270                       | -121.2494                 | -63.1963                    | -123.1481                    | -63.8871                       | 1.8986                           | 0.6908                        | 2390.2883              | 2606.5542              |


### Framework versions

- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1