---
base_model: sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat
  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. -->

# sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat

This model is a fine-tuned version of [sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat](https://huggingface.co/sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6412
- Rewards/chosen: -0.1044
- Rewards/rejected: -0.2494
- Rewards/accuracies: 0.6445
- Rewards/margins: 0.1450
- Logps/rejected: -429.4582
- Logps/chosen: -433.6304
- Logits/rejected: -3.2047
- Logits/chosen: -3.2544

## 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6795        | 0.2092 | 100  | 0.6759          | 0.0017         | -0.0328          | 0.6289             | 0.0345          | -407.8037      | -423.0197    | -3.2565         | -3.3136       |
| 0.6584        | 0.4184 | 200  | 0.6534          | -0.0666        | -0.1617          | 0.6445             | 0.0951          | -420.6952      | -429.8561    | -3.2240         | -3.2768       |
| 0.6494        | 0.6276 | 300  | 0.6438          | -0.1077        | -0.2410          | 0.6211             | 0.1333          | -428.6237      | -433.9640    | -3.2050         | -3.2553       |
| 0.6428        | 0.8368 | 400  | 0.6415          | -0.1001        | -0.2437          | 0.6211             | 0.1436          | -428.8884      | -433.2000    | -3.2046         | -3.2543       |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1