---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: rlced-conifer-zephyr-7b-dpo-2e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rlced-conifer-zephyr-7b-dpo-2e

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1578
- Rewards/chosen: -8.8688
- Rewards/rejected: -21.7065
- Rewards/accuracies: 0.9203
- Rewards/margins: 12.8376
- Logps/rejected: -2616.5852
- Logps/chosen: -1310.2896
- Logits/rejected: 3.0165
- Logits/chosen: -0.1724

## 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: 4
- total_train_batch_size: 256
- 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1586        | 0.4982 | 240  | 0.1689          | -2.6868        | -8.8615          | 0.9252             | 6.1746          | -1332.0890     | -692.0928    | 1.5975          | -0.1975       |
| 0.1408        | 0.9964 | 480  | 0.1482          | -6.5979        | -15.9265         | 0.9326             | 9.3286          | -2038.5934     | -1083.2030   | 3.3424          | 0.5015        |
| 0.0852        | 1.4946 | 720  | 0.1644          | -10.0141       | -23.7065         | 0.9228             | 13.6924         | -2816.5886     | -1424.8193   | 3.4873          | 0.0636        |
| 0.0743        | 1.9927 | 960  | 0.1578          | -8.8688        | -21.7065         | 0.9203             | 12.8376         | -2616.5852     | -1310.2896   | 3.0165          | -0.1724       |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1