---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- data/conifer
model-index:
- name: rlced_conifer_zephyr-7b-dpo-full
  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-full

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the data/conifer dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2006
- Rewards/chosen: -4.0000
- Rewards/rejected: -11.3920
- Rewards/accuracies: 0.8687
- Rewards/margins: 7.3920
- Logps/rejected: -1507.9508
- Logps/chosen: -760.1741
- Logits/rejected: -1.6795
- Logits/chosen: -2.0969

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2558        | 0.2107 | 100  | 0.2515          | -3.3402        | -7.6336          | 0.8363             | 4.2934          | -1132.1079     | -694.1878    | -3.1129         | -3.1245       |
| 0.2204        | 0.4215 | 200  | 0.2260          | -3.7625        | -9.3814          | 0.8587             | 5.6190          | -1306.8950     | -736.4189    | -2.6948         | -2.7329       |
| 0.204         | 0.6322 | 300  | 0.2096          | -3.3959        | -9.7494          | 0.8650             | 6.3535          | -1343.6858     | -699.7554    | -2.1723         | -2.4109       |
| 0.1992        | 0.8430 | 400  | 0.2007          | -4.2176        | -11.7584         | 0.8650             | 7.5408          | -1544.5891     | -781.9304    | -1.6459         | -2.0690       |


### Framework versions

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