---
license: other
base_model: deepseek-ai/deepseek-llm-7b-chat
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: ds_chat_sppo_hard_new_iter0_2024-09-17-14.35
  results: []
---

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# ds_chat_sppo_hard_new_iter0_2024-09-17-14.35

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4365
- Rewards/chosen: 0.0466
- Rewards/rejected: -0.0388
- Rewards/accuracies: 0.5769
- Rewards/margins: 0.0854
- Logps/rejected: -287.4509
- Logps/chosen: -250.6894
- Logits/rejected: 1.4344
- Logits/chosen: 1.2252
- Debug/policy Chosen Logits: 1.2252
- Debug/policy Rejected Logits: 1.4344
- Debug/policy Chosen Logps: -250.6894
- Debug/policy Rejected Logps: -287.4509
- Debug/reference Chosen Logps: -255.3497
- Debug/reference Rejected Logps: -283.5705

## 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: 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: constant
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:------------------------------:|
| 0.4429        | 0.6329 | 100  | 0.4365          | 0.0466         | -0.0388          | 0.5769             | 0.0854          | -287.4509      | -250.6894    | 1.4344          | 1.2252        | 1.2252                     | 1.4344                       | -250.6894                 | -287.4509                   | -255.3497                    | -283.5705                      |


### Framework versions

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