---
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: 4.3331

## 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   | 2.3047          |
| 1.9548        | 2.0   | 110  | 1.9423          |
| 1.7876        | 3.0   | 165  | 1.9136          |
| 1.634         | 4.0   | 220  | 1.9493          |
| 1.3783        | 5.0   | 275  | 2.1325          |
| 1.0621        | 6.0   | 330  | 2.3517          |
| 0.8113        | 7.0   | 385  | 2.6099          |
| 0.5873        | 8.0   | 440  | 2.8912          |
| 0.4162        | 9.0   | 495  | 3.1381          |
| 0.3348        | 10.0  | 550  | 3.3258          |
| 0.2436        | 11.0  | 605  | 3.5460          |
| 0.1977        | 12.0  | 660  | 3.6834          |
| 0.124         | 13.0  | 715  | 3.7705          |
| 0.1207        | 14.0  | 770  | 3.8692          |
| 0.1002        | 15.0  | 825  | 3.9645          |
| 0.0765        | 16.0  | 880  | 3.9716          |
| 0.0912        | 17.0  | 935  | 3.9930          |
| 0.0892        | 18.0  | 990  | 4.0005          |
| 0.067         | 19.0  | 1045 | 3.9995          |


### Framework versions

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