---
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-ruozhiba
  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-ruozhiba

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: 4.2495

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.644         | 1.0   | 55   | 2.2811          |
| 1.9483        | 2.0   | 110  | 1.9384          |
| 1.7791        | 3.0   | 165  | 1.9109          |
| 1.6053        | 4.0   | 220  | 1.9560          |
| 1.3206        | 5.0   | 275  | 2.1674          |
| 0.9722        | 6.0   | 330  | 2.4236          |
| 0.7026        | 7.0   | 385  | 2.6935          |
| 0.4776        | 8.0   | 440  | 3.0005          |
| 0.3163        | 9.0   | 495  | 3.2703          |
| 0.2355        | 10.0  | 550  | 3.4524          |
| 0.1489        | 11.0  | 605  | 3.6805          |
| 0.1179        | 12.0  | 660  | 3.7960          |
| 0.0712        | 13.0  | 715  | 3.9715          |
| 0.0782        | 14.0  | 770  | 4.0284          |
| 0.0691        | 15.0  | 825  | 4.1576          |
| 0.0486        | 16.0  | 880  | 4.1690          |
| 0.0639        | 17.0  | 935  | 4.2094          |
| 0.0589        | 18.0  | 990  | 4.2436          |
| 0.042         | 19.0  | 1045 | 4.2491          |
| 0.0405        | 20.0  | 1100 | 4.2495          |


### Framework versions

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