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_lr5e-6
  results: []
---

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# zephyr-7b-dpo-full_lr5e-6

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4945
- Rewards/chosen: -2.8495
- Rewards/rejected: -3.9547
- Rewards/accuracies: 0.7695
- Rewards/margins: 1.1052
- Logps/rejected: -657.4872
- Logps/chosen: -547.3602
- Logits/rejected: 4.2623
- Logits/chosen: 3.2552

## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.605         | 0.21  | 100  | 0.5799          | -1.9111        | -2.5875          | 0.7461             | 0.6764          | -520.7654      | -453.5230    | -2.4063         | -2.5964       |
| 0.5303        | 0.42  | 200  | 0.5347          | -2.5277        | -3.3091          | 0.7656             | 0.7814          | -592.9240      | -515.1846    | 2.6876          | 1.5286        |
| 0.5147        | 0.63  | 300  | 0.5106          | -2.4842        | -3.4691          | 0.75               | 0.9850          | -608.9282      | -510.8301    | 2.5319          | 1.2911        |
| 0.498         | 0.84  | 400  | 0.4958          | -2.9252        | -4.0433          | 0.7734             | 1.1181          | -666.3457      | -554.9301    | 4.6654          | 3.6821        |


### Framework versions

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