---
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-1e-5
  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-1e-5

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: 1.9852

## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9439        | 2.0   | 110  | 2.0206          |
| 1.8731        | 3.0   | 165  | 1.9055          |
| 1.7574        | 4.0   | 220  | 1.8510          |
| 1.7266        | 5.0   | 275  | 1.8366          |
| 1.6036        | 7.0   | 385  | 1.8308          |
| 1.7214        | 8.0   | 440  | 1.8380          |
| 1.5245        | 9.0   | 495  | 1.8495          |
| 1.5239        | 10.0  | 550  | 1.8638          |
| 1.4286        | 11.0  | 605  | 1.8771          |
| 1.3534        | 12.0  | 660  | 1.9030          |
| 1.3895        | 14.0  | 770  | 1.9447          |
| 1.3721        | 15.0  | 825  | 1.9617          |
| 1.3598        | 16.0  | 880  | 1.9719          |
| 1.3015        | 17.0  | 935  | 1.9796          |
| 1.3456        | 18.0  | 990  | 1.9831          |
| 1.2136        | 19.0  | 1045 | 1.9848          |


### Framework versions

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