---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: 01-ai/Yi-6B
model-index:
- name: Yi-6B-ruozhiba-5e-4-50
  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-5e-4-50

This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1158

## 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: 0.0005
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8768        | 1.0   | 55   | 1.8434          |
| 1.5109        | 2.0   | 110  | 1.8907          |
| 1.1215        | 3.0   | 165  | 2.1649          |
| 0.4876        | 4.0   | 220  | 2.6900          |
| 0.2916        | 5.0   | 275  | 2.8212          |
| 0.1983        | 6.0   | 330  | 2.8984          |
| 0.1199        | 7.0   | 385  | 2.9498          |
| 0.0743        | 8.0   | 440  | 3.2507          |
| 0.062         | 9.0   | 495  | 3.1474          |
| 0.0404        | 10.0  | 550  | 3.3666          |
| 0.038         | 11.0  | 605  | 3.3349          |
| 0.0374        | 12.0  | 660  | 3.4456          |
| 0.0384        | 13.0  | 715  | 3.4822          |
| 0.0408        | 14.0  | 770  | 3.4718          |
| 0.0347        | 15.0  | 825  | 3.5028          |
| 0.0377        | 16.0  | 880  | 3.5218          |
| 0.0395        | 17.0  | 935  | 3.5320          |
| 0.0408        | 18.0  | 990  | 3.5371          |
| 0.0468        | 19.0  | 1045 | 3.5391          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2