---
license: other
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- zhihu
base_model: 01-ai/Yi-6B
model-index:
- name: Yi-6B-zhihu7
  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-zhihu7

This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the zhihu dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5970

## 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-06
- train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6831        | 1.0   | 96   | 2.6346          |
| 2.6684        | 2.0   | 192  | 2.6288          |
| 2.687         | 3.0   | 288  | 2.6192          |
| 2.6597        | 4.0   | 384  | 2.6109          |
| 2.6019        | 5.0   | 480  | 2.6054          |
| 2.6118        | 6.0   | 576  | 2.6022          |
| 2.7286        | 7.0   | 672  | 2.6001          |
| 2.6341        | 8.0   | 768  | 2.5987          |
| 2.572         | 9.0   | 864  | 2.5979          |
| 2.622         | 10.0  | 960  | 2.5974          |
| 2.6404        | 11.0  | 1056 | 2.5972          |
| 2.6607        | 12.0  | 1152 | 2.5971          |
| 2.5324        | 13.0  | 1248 | 2.5971          |
| 2.5472        | 14.0  | 1344 | 2.5970          |
| 2.539         | 15.0  | 1440 | 2.5970          |
| 2.5757        | 16.0  | 1536 | 2.5971          |
| 2.6495        | 17.0  | 1632 | 2.5970          |
| 2.5647        | 18.0  | 1728 | 2.5970          |
| 2.5605        | 19.0  | 1824 | 2.5970          |
| 2.6608        | 20.0  | 1920 | 2.5970          |


### Framework versions

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