---
license: other
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- ruozhiba
base_model: 01-ai/Yi-6B
model-index:
- name: Yi-6B-ruozhiba2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Yi-6B-ruozhiba2

This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3202

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7303        | 1.0   | 55   | 2.2761          |
| 2.0833        | 2.0   | 110  | 1.9984          |
| 1.8367        | 3.0   | 165  | 1.9820          |
| 1.3057        | 5.0   | 275  | 2.2829          |
| 0.972         | 6.0   | 330  | 2.6339          |
| 0.6803        | 7.0   | 385  | 2.9009          |
| 0.4926        | 8.0   | 440  | 3.1734          |
| 0.3161        | 9.0   | 495  | 3.3547          |
| 0.2503        | 10.0  | 550  | 3.6204          |
| 0.1914        | 11.0  | 605  | 3.7289          |
| 0.1431        | 12.0  | 660  | 3.8908          |
| 0.1286        | 13.0  | 715  | 4.0403          |
| 0.1169        | 14.0  | 770  | 4.1426          |
| 0.1122        | 15.0  | 825  | 4.1888          |
| 0.1046        | 16.0  | 880  | 4.2556          |
| 0.1045        | 17.0  | 935  | 4.2806          |
| 0.1203        | 18.0  | 990  | 4.3127          |
| 0.1097        | 19.0  | 1045 | 4.3194          |
| 0.1087        | 20.0  | 1100 | 4.3202          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2