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_sft3epoch
  results: []
---

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# zephyr-7b-dpo-full_sft3epoch

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6172
- Rewards/chosen: -1.5792
- Rewards/rejected: -1.8655
- Rewards/accuracies: 0.625
- Rewards/margins: 0.2863
- Logps/rejected: -1146.1112
- Logps/chosen: -1218.1312
- Logits/rejected: -3.6422
- Logits/chosen: -3.6317

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6601        | 0.21  | 100  | 0.6572          | -0.5696        | -0.7082          | 0.6133             | 0.1387          | -1030.3876     | -1117.1681   | -3.8281         | -3.8175       |
| 0.6329        | 0.42  | 200  | 0.6378          | -1.1629        | -1.3547          | 0.6523             | 0.1918          | -1095.0327     | -1176.4983   | -3.7205         | -3.7123       |
| 0.6251        | 0.63  | 300  | 0.6219          | -1.5227        | -1.7758          | 0.6484             | 0.2530          | -1137.1422     | -1212.4856   | -3.6798         | -3.6707       |
| 0.6163        | 0.84  | 400  | 0.6192          | -1.4583        | -1.7357          | 0.6289             | 0.2774          | -1133.1334     | -1206.0380   | -3.6473         | -3.6358       |


### Framework versions

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