---
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-zhihu5
  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-zhihu5

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: 2.5677

## 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: 16
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6816        | 1.0   | 96   | 2.6328          |
| 2.6582        | 2.0   | 192  | 2.6169          |
| 2.6676        | 3.0   | 288  | 2.5983          |
| 2.6413        | 4.0   | 384  | 2.5891          |
| 2.581         | 5.0   | 480  | 2.5825          |
| 2.5884        | 6.0   | 576  | 2.5776          |
| 2.704         | 7.0   | 672  | 2.5741          |
| 2.608         | 8.0   | 768  | 2.5715          |
| 2.5454        | 9.0   | 864  | 2.5698          |
| 2.5938        | 10.0  | 960  | 2.5688          |
| 2.6129        | 11.0  | 1056 | 2.5682          |
| 2.6334        | 12.0  | 1152 | 2.5679          |
| 2.5013        | 13.0  | 1248 | 2.5678          |
| 2.519         | 14.0  | 1344 | 2.5677          |
| 2.5076        | 15.0  | 1440 | 2.5677          |
| 2.5443        | 16.0  | 1536 | 2.5677          |
| 2.5972        | 17.0  | 1632 | 2.5677          |
| 2.5361        | 18.0  | 1728 | 2.5677          |
| 2.6119        | 19.0  | 1824 | 2.5677          |
| 2.6321        | 20.0  | 1920 | 2.5677          |


### Framework versions

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