---
library_name: peft
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
- HuggingFaceH4/cai-conversation-harmless
model-index:
- name: smollm2-17b-dpo-cai-v1
  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. -->

# smollm2-17b-dpo-cai-v1

This model is a fine-tuned version of [moodlep/smollm2-1.7b-instr-sft-cai](https://huggingface.co/moodlep/smollm2-1.7b-instr-sft-cai) on the HuggingFaceH4/ultrafeedback_binarized and the HuggingFaceH4/cai-conversation-harmless datasets.
It achieves the following results on the evaluation set:
- Loss: 0.6931
- Rewards/chosen: 0.0000
- Rewards/rejected: -0.0001
- Rewards/accuracies: 0.4339
- Rewards/margins: 0.0002
- Logps/rejected: -228.5849
- Logps/chosen: -245.0489
- Logits/rejected: -1.4322
- Logits/chosen: -1.3905

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6933        | 0.3883 | 100  | 0.6930          | -0.0013        | -0.0015          | 0.4358             | 0.0002          | -228.7255      | -245.1841    | -1.6940         | -1.6433       |
| 0.6931        | 0.7767 | 200  | 0.6929          | -0.0007        | -0.0011          | 0.4487             | 0.0004          | -228.6854      | -245.1230    | -1.2768         | -1.2404       |


### Framework versions

- PEFT 0.14.0
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3