---
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-ruozhiba3
  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-ruozhiba3

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: 3.9909

## 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  | 1.9419          |
| 1.788         | 3.0   | 165  | 1.9135          |
| 1.6342        | 4.0   | 220  | 1.9499          |
| 1.3781        | 5.0   | 275  | 2.1321          |
| 1.0617        | 6.0   | 330  | 2.3518          |
| 0.8104        | 7.0   | 385  | 2.6090          |
| 0.5864        | 8.0   | 440  | 2.8890          |
| 0.4159        | 9.0   | 495  | 3.1356          |
| 0.3344        | 10.0  | 550  | 3.3190          |
| 0.2446        | 11.0  | 605  | 3.5470          |
| 0.199         | 12.0  | 660  | 3.6840          |
| 0.1245        | 13.0  | 715  | 3.7653          |
| 0.1208        | 14.0  | 770  | 3.8722          |
| 0.1003        | 15.0  | 825  | 3.9575          |
| 0.0767        | 16.0  | 880  | 3.9671          |
| 0.0913        | 17.0  | 935  | 3.9921          |
| 0.0895        | 18.0  | 990  | 3.9940          |
| 0.0671        | 19.0  | 1045 | 3.9915          |
| 0.0671        | 20.0  | 1100 | 3.9909          |


### Framework versions

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