transformers tensorboard safetensors mistral text-generation trl dpo generated_from_trainer conversational autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full_lr1e-7
  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. -->

# zephyr-7b-dpo-full_lr1e-7

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5999
- Rewards/chosen: -0.1059
- Rewards/rejected: -0.3888
- Rewards/accuracies: 0.7266
- Rewards/margins: 0.2829
- Logps/rejected: -300.8914
- Logps/chosen: -273.0010
- Logits/rejected: -2.2473
- Logits/chosen: -2.2980

## 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-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6773        | 0.21  | 100  | 0.6767          | 0.0281         | -0.0077          | 0.6914             | 0.0358          | -262.7869      | -259.5997    | -2.3569         | -2.4039       |
| 0.6286        | 0.42  | 200  | 0.6292          | -0.0536        | -0.2320          | 0.7109             | 0.1784          | -285.2149      | -267.7724    | -2.3535         | -2.4023       |
| 0.6161        | 0.63  | 300  | 0.6066          | -0.0848        | -0.3355          | 0.7188             | 0.2507          | -295.5617      | -270.8907    | -2.2759         | -2.3264       |
| 0.5908        | 0.84  | 400  | 0.6002          | -0.1035        | -0.3846          | 0.7227             | 0.2811          | -300.4714      | -272.7594    | -2.2519         | -2.3026       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1
