transformers tensorboard safetensors mistral text-generation trl dpo generated_from_trainer conversational base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-ipo-lora-5ep
  results: []
---

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# zephyr-7b-ipo-lora-5ep

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 17.9243
- Rewards/chosen: 0.0274
- Rewards/rejected: -0.1133
- Rewards/accuracies: 0.7360
- Rewards/margins: 0.1407
- Logps/rejected: -212.1647
- Logps/chosen: -255.2498
- Logits/rejected: -1.7956
- Logits/chosen: -2.0232

## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 19.7198       | 1.0   | 242  | 19.4561         | 0.0339         | -0.0669          | 0.6980             | 0.1008          | -211.7013      | -255.1847    | -1.7967         | -2.0240       |
| 19.4456       | 2.0   | 484  | 18.4657         | 0.0251         | -0.0989          | 0.7140             | 0.1240          | -212.0212      | -255.2727    | -1.7950         | -2.0227       |
| 18.2488       | 3.0   | 726  | 18.0217         | 0.0246         | -0.1117          | 0.7400             | 0.1362          | -212.1486      | -255.2784    | -1.7960         | -2.0237       |
| 17.9448       | 4.0   | 968  | 17.9649         | 0.0243         | -0.1137          | 0.7380             | 0.1379          | -212.1687      | -255.2813    | -1.7954         | -2.0230       |
| 17.8013       | 5.0   | 1210 | 17.9243         | 0.0274         | -0.1133          | 0.7360             | 0.1407          | -212.1647      | -255.2498    | -1.7956         | -2.0232       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
