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_sft2epoch
  results: []
---

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# zephyr-7b-dpo-full_sft2epoch

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6211
- Rewards/chosen: -1.4941
- Rewards/rejected: -1.7515
- Rewards/accuracies: 0.625
- Rewards/margins: 0.2573
- Logps/rejected: -1191.0941
- Logps/chosen: -1275.2760
- Logits/rejected: -3.7499
- Logits/chosen: -3.7463

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6596        | 0.21  | 100  | 0.6582          | -0.3306        | -0.4516          | 0.6172             | 0.1209          | -1061.1038     | -1158.9254   | -3.8934         | -3.8869       |
| 0.6329        | 0.42  | 200  | 0.6346          | -0.8973        | -1.0821          | 0.6172             | 0.1848          | -1124.1610     | -1215.5958   | -3.8301         | -3.8271       |
| 0.6282        | 0.63  | 300  | 0.6261          | -1.3758        | -1.6045          | 0.6172             | 0.2287          | -1176.3937     | -1263.4438   | -3.7836         | -3.7816       |
| 0.6216        | 0.84  | 400  | 0.6214          | -1.5153        | -1.7774          | 0.6562             | 0.2621          | -1193.6827     | -1277.3909   | -3.7427         | -3.7397       |


### Framework versions

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