---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
datasets:
- HachiML/oasst1_for_self-rewarding_IFT
- HachiML/oasst1_for_self-rewarding_EFT_MSv0.3
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

 - [HachiML/Mistral-7B-v0.3-sft-lora_sr_5ep](https://huggingface.co/HachiML/Mistral-7B-v0.3-sft-lora_sr_5ep)のAdapterをマージしたモデル
 - This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on following datasets.
   - [HachiML/oasst1_for_self-rewarding_IFT](https://huggingface.co/datasets/HachiML/oasst1_for_self-rewarding_IFT)
   - [HachiML/oasst1_for_self-rewarding_EFT_MSv0.3](https://huggingface.co/datasets/HachiML/oasst1_for_self-rewarding_EFT_MSv0.3)
 - It achieves the following results on the evaluation set:
   - Loss: 0.4237

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** [HachiML](https://huggingface.co/HachiML)
- **Model type:** Mistral-7B
- **Language(s) (NLP):** Japanese
- **License:** Apache-2.0
- **Finetuned from model:** [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3)
- **Finetuned type:** SFT
- **Finetuned dataset:**
  - [HachiML/oasst1_for_self-rewarding_IFT](https://huggingface.co/datasets/HachiML/oasst1_for_self-rewarding_IFT)
  - [HachiML/oasst1_for_self-rewarding_EFT_MSv0.3](https://huggingface.co/datasets/HachiML/oasst1_for_self-rewarding_EFT_MSv0.3)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1951        | 1.0   | 262  | 0.4563          |
| 0.9304        | 2.0   | 524  | 0.4279          |
| 0.9129        | 3.0   | 786  | 0.4242          |
| 0.9088        | 4.0   | 1048 | 0.4237          |
| 0.9089        | 5.0   | 1310 | 0.4237          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1